25 jobs found

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details

Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description The VP, Product: Data and AI is a senior product leader within the central hub, responsible for defining what the firm builds with AI and why - translating the needs of investment professionals, operations teams, IR, legal, and compliance into a coherent AI use-case portfolio that delivers measurable business value. This role owns the AI use-case roadmap, the intake-to-delivery lifecycle, and the AI governance gate process that moves use cases from concept through Legal, Compliance, Risk, and Cyber sign-off into production. The VP serves as the connective tissue between business stakeholders who surface problems, the vertical technology teams, and AI Engineering hub that builds the platform to solve them. This is a strategic and execution-oriented role in equal measure. You will partner with vertical PM tech teams and run discovery with deal teams, IR, and operations; write crisp product specs that engineering can execute against; define success metrics; and manage the use-case funnel across investment and corporate functions. The AI Product Management function owns the demand side of the AI platform: what gets built, in what order, and with what definition of success. Vertical spoke teams in each investment vertical surface use-case demand; the VP, AI Product Management qualifies, prioritizes, and shepherds the most valuable use cases through delivery as centrally-built platform capabilities, applying the two-vertical rule as the primary governance lens for hub vs. spoke build decisions. Key Responsibilities AI Use-Case Strategy & Roadmap Own the enterprise AI use-case roadmap across all firm functions - deal execution, portfolio operations, investor relations, legal & compliance, and firm-wide productivity - with prioritization aligned to business leadership Apply the two-vertical rule as the governing framework: when a use case is applicable across two or more verticals or functions, lead the business case for centralizing on the hub platform rather than rebuilding in each spoke Define and maintain the AI use-case intake funnel: structured discovery, feasibility scoring, value estimation, and sequencing logic that balances strategic impact with engineering capacity Translate high-level business goals (analyst time savings, decision support, operational efficiency) into a portfolio of AI initiatives with clear owners, milestones, and success criteria Stay current on generative AI and agentic capabilities; proactively identify where emerging platform primitives (MCP integrations, A2A workflows, new model capabilities) unlock net-new use cases for the firm Discovery, Scoping & Requirements Lead structured discovery sessions with deal teams, portfolio operations, IR, legal, compliance, and senior stakeholders to surface high-value AI opportunities and translate them into product requirements Produce well-structured product specifications: user stories, workflow diagrams, acceptance criteria, context layer definitions (Firm/Deal/User), retrieval scope, and output format requirements - written to the standard AI Engineering executes against Distinguish between use cases suited for RAG-based retrieval, agentic orchestration, structured extraction, or analytical AI - and articulate the distinction clearly to both technical and business audiences Own MNPI sensitivity classification for each use case; partner with Data Governance, Legal and Compliance during scoping to determine information barrier requirements before engineering engagement For portfolio operations and reporting use cases, collaborate with Data Product Management to ensure Gold-layer data products required for AI retrieval are defined and on roadmap before engineering begins AI Governance Gate & Compliance Own the AI governance gate process end-to-end: producing the use-case submission package for Legal, Compliance, Risk, and Cyber sign-off and driving each use case through the gate to approved status Support the governance submission template and ensure all AI use cases - regardless of vertical or function - follow a consistent review process before production deployment Manage ongoing governance obligations post-deployment: monitoring thresholds, model change notifications, and periodic reviews required by compliance stakeholders Partner with Data Governance on AI-specific policy: retrieval permissioning, audit log requirements, acceptable use definitions, and model output disclaimers Serve as the business-side point of contact for ARB (Architecture Review Board) submissions on AI use cases, coordinating with AI Engineering on technical evidence packages Delivery Partnership & Use-Case Lifecycle Partner with the Principal AI Engineer and AI Engineering team through the full use-case lifecycle: from approved spec through build, evaluation, staged rollout, and production launch Define evaluation criteria and user acceptance tests for each use case - retrieval quality benchmarks, output format adherence, latency thresholds, and qualitative review with business stakeholders Own the feedback loop post-launch: structured user feedback collection, monitoring of observability metrics, and iteration prioritization with AI Engineering Track time-to-value for each use case from intake to production; report use-case portfolio status and business impact to business leadership on a regular cadence Manage the transition of use cases from spoke-built prototypes to hub platform capabilities, coordinating change management with vertical teams and their stakeholders Stakeholder Engagement & Change Management Build and maintain trusted relationships with senior stakeholders across investment verticals -deal professionals, operations, IR, and Legal and Compliance - as the face of the AI product function Run structured demos, pilots, and feedback sessions with business users; translate qualitative feedback into actionable product decisions and communicate decisions back to stakeholders with clear rationale Develop and execute change management plans for AI use-case launches, including user training, adoption tracking, and escalation pathways for issues Partner with the Data & AI PMO on cross-functional coordination, sprint ceremonies, and executive reporting across the AI use-case portfolio Champion responsible AI use within the firm: communicating model limitations, output uncertainty, and appropriate human-in-the-loop requirements to business users Product & Domain Experience 8+ years in product management; 3+ years in an AI, ML, or data product role with direct ownership of LLM or generative AI use cases from discovery through production Demonstrated experience translating complex, knowledge-intensive workflows (legal review, research, financial analysis, report generation) into AI product requirements that engineering teams can execute against Track record of managing multi-stakeholder use-case portfolios with competing priorities across business functions - not just a single product line Experience operating in or closely with regulated industries (financial services, legal, healthcare): familiar with governance gate processes, compliance review requirements, and the discipline of shipping AI responsibly Strong understanding of RAG architectures, agentic workflows, prompt design tradeoffs, and retrieval quality concepts - sufficient to write precise requirements and hold technical conversations with AI Engineering Skills & Competencies Exceptional written communication: able to produce crisp product specs, executive memos, board-ready summaries, and governance submission packages with equal fluency Strong analytical reasoning: able to build business cases, quantify expected value (time savings, risk reduction, revenue support), and defend prioritization decisions with data Highly organized with strong program management instincts - able to run a multi-use-case intake funnel, track parallel workstreams, and keep stakeholders aligned without losing velocity Comfortable operating at both the strategic level (roadmap, prioritization, executive alignment) and the tactical level (writing acceptance criteria, reviewing retrieval results, coordinating rollout) High accountability: takes ownership of outcomes, communicates blockers early, and builds trust with both technical and business partners Preferred Qualifications Private equity, investment banking, asset management experience - familiarity with deal workflows, IC memo process, fund reporting cycles, LP communications, or portfolio monitoring Experience managing AI governance or responsible AI review processes in a regulated environment, including interactions with Legal, Compliance, or Risk functions Familiarity with Databricks, Unity Catalog, or enterprise data platforms - sufficient to understand how data product maturity constrains AI use-case delivery Experience with LLM evaluation frameworks (e.g., RAGAS, LLM-as-judge . click apply for full job details

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Please note: This is a full-time, 5-day-a-week, on-site role located in Rocky Mount, NC. This position is for a government client and we can only hire US citizens or full green card holders Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there's a good chance you will love being a part of our Software Engineering - Development team at Kyndryl, where you will be able to see the immediate value of your work. As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products. Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it. As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on our products' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services. Your Future at Kyndryl The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Skills, Experience and Circumstances: • Minimum of 5+ years of experience working as a software engineer on complex software projects •Excellent coding skills and solid development experience (Java, Python, .Net etc.) with debugging and problem-solving skills •Software development methodologies, with demonstrated experience developing scalable and robust software •Experienced in relational and NoSQL databases, data mapping, XML/JSON, Rest based web services •Knowledge of architecture design - Microservices architecture, containers (Docker & k8s), messaging queues •Deep understanding of OOP and Design patterns Preferred Skills and Experience: •Bachelor's degree in Computer Science, related technical field, or equivalent practical experience •Certification in one or more of the hyperscalers (Azure, AWS, and Google GCP) - otherwise, you can obtain certifications with Kyndryl •Experience with DevOps tools and modern engineering practices Compensation: The compensation range for the position in the U.S. is $88,680 to $168,480 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area): $106,440 to $202,200 California (All Other): $97,560 to $185,280 Colorado: $88,680 to $168,480 Massachusetts: $88,680 to $185,280 New York City: $106,440 to $202,200 Washington: $97,560 to $185,280 Washington DC: $97,560 to $185,280 This position will be eligible for Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Applications will be accepted on a rolling basis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.

Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details

Mind Computing is seeking an experienced Principal Solutions Architect to support federal growth, capture, and solution development initiatives, with a primary focus on the Department of Veterans Affairs (VA) and additional federal agencies including DoD, DHA, CMS, and HHS. The ideal candidate will bring a strong background in designing complex enterprise technology solutions and translating federal requirements into practical, scalable, secure, and differentiated architectures across healthcare IT, cloud, data, interoperability, DevSecOps, cybersecurity, and AI/Generative AI. The candidate must reside within the continental US. Responsibilities: Independently develop, write, and refine proposal-ready technical narratives for RFIs, RFQs, RFPs, task orders, white papers, and other federal pursuits, translating solicitation requirements and SME input into clear, persuasive, evaluator-focused responses. Develop and review technical proposal content, ensuring solutions are compliant, feasible, differentiated, and aligned with customer objectives and evaluation criteria. Partner with Growth, Capture, Proposal, Delivery, Engineering, Pricing, and Executive teams to develop technical solutions and win strategies. Lead and facilitate technical solutioning sessions, proposal reviews, color teams, oral presentations, and customer or partner discussions. Analyze solicitations, PWS/SOO, technical requirements, Q&A, and acquisition documents to identify customer objectives, technical risks, assumptions, and solution opportunities. Design and communicate enterprise architectures spanning application modernization, cloud, data, APIs, healthcare interoperability, DevSecOps, cybersecurity, and operations. Translate customer requirements into technical approaches, implementation strategies, workstreams, technologies, staffing models, and technical differentiators. Apply knowledge of VA technology and healthcare environments, including VistA, Corporate Data Warehouse (CDW), My HealtheVet (MHV), Federal EHR/Oracle Health, and related enterprise systems. Develop architecture diagrams, data flows, integration models, modernization roadmaps, conceptual designs, and other technical artifacts. Evaluate technologies, platforms, and potential partners to determine appropriate build, buy, reuse, integration, and teaming strategies. Provide technical guidance on emerging technologies and identify opportunities to apply AI and Generative AI to federal healthcare solutions. Leverage AI-assisted tools such as ChatGPT, Claude, GitHub Copilot, and similar platforms for technical research, requirements analysis, architecture development, software engineering, and proposal activities while validating outputs for accuracy and security. Support responsible AI practices, including data protection, human oversight, model evaluation, security, governance, and hallucination mitigation. Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project. Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field. 10+ years of experience in enterprise IT, software engineering, systems architecture, or related technical disciplines. 5+ years of experience in Solution Architecture, Enterprise Architecture, Technical Architecture, or comparable technical leadership roles. Significant experience supporting the Department of Veterans Affairs, preferably within VA healthcare, OIT, Digital Health, or major enterprise technology programs. Experience architecting, modernizing, integrating, or delivering complex enterprise or healthcare systems. Experience estimating technical staffing, labor categories, level of effort, and implementation timelines. Experience supporting federal capture, solution reviews, Black Hat, Pink/Red/Gold Team reviews, or oral proposal presentations. Strong technical writing skills with the ability to translate complex architectures into clear, persuasive, evaluator-focused content. Experience developing and presenting technical architectures, solution concepts, implementation approaches, and recommendations to technical and non-technical audiences. Current knowledge of AI/ML and Generative AI, including LLM applications, RAG, AI agents, prompt/context engineering, model evaluation, and responsible AI. Strong analytical, communication, facilitation, collaboration, and problem-solving skills. Strong knowledge across several of the following: Cloud architecture and modernization Application and legacy system modernization Microservices and API architecture Data architecture and analytics DevSecOps and CI/CD Healthcare interoperability Enterprise integration and event-driven architecture Cybersecurity and Zero Trust Production operations, scalability, resilience, and observability Additional Qualifications: Additional experience supporting DoD/DHA, CMS, HHS, or other federal healthcare programs. Prior federal/government experience. Experience with VA enterprise architecture, Technical Reference Model (TRM), ATO, security, or technical governance processes. Experience integrating legacy VA environments with modern cloud, API, data, and Federal EHR capabilities. Working knowledge of HL7, FHIR, REST APIs, and healthcare integration technologies. Experience with AWS and/or Microsoft Azure cloud environments. Familiarity with Shipley or APMP proposal methodologies. Relevant cloud, architecture, cybersecurity, healthcare IT, or AI certifications. Ability to meet applicable federal background investigation and suitability requirements, including Public Trust, and obtain and maintain a security clearance when required by the customer or opportunity. Benefits: Medical/Dental/Vision 401k with Employer Match PTO + Federal Holidays Corporate Laptop Training Opportunities Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process. Mind Computing is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. At this time, we are unable to offer sponsorship.

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. About the Role LG Commercial Displays is hiring a Senior Product Manager to own cloud platform strategy and delivery for Pro:Centric. This is an ownership role, not a coordination role. You will own the BC 3.0 migration end to end, carry the AWS cost and platform uptime targets, and make the build / buy / partner decisions that shape the next generation of the service. Pro:Centric runs across a large installed base of hospitality properties, with expansion underway into cruise, fitness, retail, senior living, and MDU. You will move that installed base onto a modern multi-tenant foundation without disrupting live properties, and build the platform the next set of industries needs. What You Own BC 3.0 migration. Full ownership of the migration roadmap, sequencing, and cutover for existing properties and partners. Includes backward compatibility, migration tooling, partner and integrator readiness, and a credible rollback path when something goes wrong at a live site. AWS cost. Own platform cloud spend. Build and maintain the cost model, run analysis by service and by tenant, set per-property and per-device cost targets, and drive optimization with engineering: rightsizing, storage tiering, reserved and savings-plan coverage, data transfer, and CDN egress. Uptime and reliability KPIs. Define and own SLOs for provisioning, content delivery, device check-in, and API availability. Own the error budget, the incident review loop, and the reliability reporting that goes to HQ and to brand partners. Platform roadmap. APIs, provisioning, device and app management, tenant onboarding. Set priorities, make the trade-offs, and defend them. Monetization services. Identify and build the business case for revenue services layered on the platform: upsell, loyalty and micro-spend, transaction flows. Security and compliance posture. Ensure the platform meets partner and brand security requirements as it scales across regions. How You Will Work This role sits across three engineering and product groups and needs credibility with all of them. Lincolnshire engineering. Your day-to-day delivery partner. You will be in their planning, reviews, and escalations. Lincolnshire product. Peer product managers covering adjacent surfaces including webOS applications, channel services, and device firmware. Your roadmap has to line up with theirs. HQ engineering (Korea). Platform architecture and prioritization decisions ultimately land here. You will negotiate scope, sequencing, and design across a time zone gap and a language gap. Expect regular early-morning or late-evening calls and periodic travel. Partners and integrators. Brands, system integrators, and cloud and service vendors. Influence is the core skill. You will not have direct authority over most of the engineers building what you specify. This role works if you can win technical arguments on merit, hold a roadmap under pressure, and get real commitment from teams that do not report to you. What Success Looks Like In the first twelve months: BC 3.0 migration plan approved by HQ and Lincolnshire, with committed sequencing for the installed base An agreed share of properties migrated, with no severity-1 incidents attributable to the migration Cloud cost per property baselined and reduced against a stated target Published SLOs in place and consistently met, with regular reporting to HQ and brand partners A prioritized, funded roadmap for at least one new monetization service Required Qualifications 10+ years in technical product management, including 5+ owning cloud or platform products Demonstrated ownership of a major platform migration involving a live installed base. You have run a cutover, not only planned one. Hands-on AWS depth. You can read a cost and usage report, challenge an architecture on cost grounds, and hold your own with a principal engineer. Experience defining and operating SLOs, SLIs, and error budgets for a production service Multi-tenant SaaS architecture and API-first design (REST, GraphQL, event-driven) Proven ability to influence and drive delivery across teams you do not manage, including across geographies Ability to manage a product portfolio: prioritization, trade-offs, lifecycle, and sunset decisions Strong communication with engineers and executives alike, including defending a technical decision in a business review Preferred Qualifications CTV, hospitality, or enterprise display platforms CDN, streaming and video delivery, or IoT / device fleet management at scale Familiarity with MCP or similar integration frameworks Monetization services, payment, or transaction integrations Security and compliance frameworks such as ISO 27001, SOC 2, or GDPR Experience working with Korea-based engineering organizations Mentoring or managing product managers Pragmatic application of AI/ML to business outcomes rather than experimentation Recruiting Range $135,000-$160,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: or . This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Role Overview Astera Labs is seeking a Principal Product Applications Engineer to join our Taurus Ethernet Smart Cable Modules team and drive customer success at the forefront of AI infrastructure connectivity. As data centers scale to meet explosive AI workload demands, our Taurus products are enabling the high-bandwidth, low-latency Ethernet fabric connections that power next-generation GPU clusters and disaggregated computing architectures. In this role, you'll be the technical expert customers rely on to successfully deploy Taurus Ethernet solutions in their most demanding environments. You'll work hands-on with hyperscalers, OEMs, and AI system builders to debug complex physical layer challenges, deliver technical enablement, and ensure seamless product integration. Your customer insights will directly influence how we evolve our products to meet the market's most pressing connectivity needs. This is a unique opportunity to combine deep Ethernet and physical layer expertise with meaningful customer impact at a hyper-growth company defining the future of AI connectivity. You'll collaborate across engineering, sales, and product teams while building relationships with the world's most innovative technology companies. Key Responsibilities Customer Technical Engagement Serve as the primary technical resource for customers evaluating and deploying Taurus Ethernet Smart Cable Modules Deliver technical presentations, product training, and hands-on demonstrations to customer engineering teams Build trusted relationships with key accounts and drive successful product adoption System-Level Debug & Validation Support Lead root cause analysis and debugging of complex Ethernet physical layer and link issues in customer systems Support customer lab bring-up, characterization, and system validation activities Develop and execute test plans to reproduce and resolve customer-reported issues Technical Documentation & Enablement Create application notes, integration guides, and best practices documentation for Ethernet system implementation Develop technical collateral that accelerates customer time-to-deployment Contribute to product documentation including datasheets and user guides Cross-Functional Collaboration Partner with product management and engineering to translate customer feedback into product requirements Support sales teams with technical expertise during pre-sales and post-sales engagements Represent voice of the customer in internal roadmap discussions and feature prioritization Willingness to travel for work within US and to Asia. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in applications engineering, technical support, or system engineering roles Strong understanding of Ethernet physical layer specifications (100G/200G/400G/800G) Hands-on experience with lab equipment including oscilloscopes, protocol analyzers, and BER test tools Experience debugging high-speed serial interfaces and signal integrity challenges Excellent written and verbal communication skills with ability to convey complex technical concepts Preferred Qualifications Experience with optical modules, active cables, or similar high-speed connectivity components Familiarity with AI/ML system architectures, GPU clusters, or data center networking Background in signal integrity analysis and simulation Scripting proficiency (Python, TCL) for test automation and data analysis Prior experience working with hyperscale or enterprise data center customers Knowledge of Ethernet consortium specifications and industry standards Salary range is $158,400 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Applications Principal Engineer serves as the technical leader for enterprise integration, interface architecture, and digital connectivity across the organization. This role drives adoption of standards, reference architectures, and best practices for APIs, event-driven systems, containerization, security, and AI integration. Working across product, architecture, infrastructure, and security teams, the engineer ensures scalable, secure, and efficient data movement while reducing technical complexity and system silos. The position also mentors teams, guides solution design, and translates enterprise standards into practical frameworks, templates, and reusable solutions. Key Accountabilities Lead enterprise interface strategy and digital integration standards, including APIs, event-driven architectures, data flows, and AI-enabled solutions. Drive adoption of container platforms such as OpenShift, CI/CD practices, and secure deployment patterns. Define and implement security standards including authentication, authorization, data protection, and AI governance. Establish scalable Artifical Intelligence (AI) integration approaches including LLMs, agent orchestration, MCP, RAG, and model-serving pipelines. Guide streaming and event-driven data architectures, optimize performance and cost, and ensure seamless enterprise-to-plant connectivity. Partner with architecture, security, infrastructure, vendors, and product teams to align solutions with business and technology objectives. Qualifications, Experience, and Skills Minimum educational qualifications: Must have a college level Bachelor's degree in Computer Science / Computer Engineering / Data Science / Artificial Intelligence / Information Technology or a similar STEM field of study. Minimum relevant work experience: Must have at least 8 years of experience in IT or software engineering, including 3 or more years in a technical leadership role. Strong expertise in two or more areas such as enterprise integration, API architecture, networking, OpenShift/container platforms, event-driven systems, streaming technologies, security frameworks (OAuth2, mTLS, Zero Trust), cloud/hybrid environments, or AI/ML integration. Proven ability to influence teams, develop technical strategy, lead cross-functional initiatives, create executive-level presentations, manage vendors, support budgeting activities, and communicate complex technical concepts effectively. Other job-specific skills Strong professional communication and technical writing. Working knowledge of product and manufacturing systems (highly desired). Proven ability to deliver and evaluate management-level presentations. Experience in budget planning and financial stewardship. Vendor management and external partner coordination. Capability to develop and drive strategy and execution plans Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Staff / Principal Technical Program Manager We are also looking to connect with experienced Staff or Principal Technical Program Managers to lead the development of next-generation connected IoT, video streaming products. 100% Remote (Canada or U.S.) -Must be comfortable working PST hours. We're looking for TPMs who bring: 8+ years leading complex software and/or consumer electronics programs Strong technical background in software engineering or systems development Experience delivering connected products from concept through launch Ability to work closely with engineering, product, and executive stakeholders Expertise with Agile, Scrum/Kanban, Jira & Confluence Highly desirable experience includes: IoT and smart home products Mobile & web application development Camera or video streaming platforms AI/ML initiatives SaaS subscription services Beta programs and large cross-functional product launches This is a highly visible leadership role where you'll partner with engineering and product teams to drive execution of innovative connected products used by customers worldwide. Interested, or know someone who'd be a great fit? Feel free to message me directly. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.