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As organizations move AI agents from experimentation into production, engineering teams need to understand whether those agents are accurate, reliable, performant, and cost-effective. Datadog Agent Observability helps teams understand, evaluate, and improve AI agents across the development lifecycle. By connecting agent traces and evaluations with full-stack production telemetry, Datadog gives teams the context they need to understand agent behavior and resolve problems quickly. As the Product Manager for Agent Observability, you will own capabilities that help customers develop and operate reliable AI agents. You will spend significant time with customers, learn how they work, identify their most important problems, and translate those insights into a clear product strategy and roadmap. To succeed in this role, you should be comfortable navigating a rapidly evolving market, presenting to customers, and leading cross-functional efforts to drive adoption and growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Own the roadmap for new Agent Observability capabilities Develop a deep understanding of how teams build, evaluate, monitor, and troubleshoot AI agents Engage directly with customers and design partners to validate problems, test product concepts, and improve the product Work closely with engineering and design to deliver new capabilities from early concepts through launch and iteration Partner with GTM teams on positioning, sales enablement, customer education, and adoption Track developments across the broader AI ecosystem to guide priorities Who You Are 3+ years of PM experience, ideally in the AI/ML space Working knowledge of how AI agents are built and operated, or have hands-on experience with AI Observability or MLOps tooling Take own

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Commercial Account Executive, you’ll own the entire sales process from start to finish. You’ll work closely with Sales Managers and Sales Engineers to turn a small-business prospect into an active Dialpad client. In addition, you’ll help businesses solve complex communication problems felt by everyone around the w

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities`` Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buyi

Who We Are Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations — including AAA, the NHS, Penske, and Moderna — trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com . Who we are Simpplr builds AI-powered intranet for modern enterprises. Our platform unifies employee engagement, enablement, and services, leveraging state-of-the-art AI models to deliver a seamless, cohesive, and personalized employee experience for everyone — wherever and however they work. Our mission is to transform the work experience for billions of people across the world. Because we believe that when work is good, life is better.™ Trusted by more than 1,000 leading brands, including DocuSign, Penske, Splunk, Nutanix, Okta, Eurostar, and SoFi, our customers are achieving measurable improvements in employee engagement, productivity, and accelerated business performance. Simpplr is headquartered in Silicon Valley, CA with offices in the UK, Canada, and India, and is backed by Sapphire Ventures, Norwest Venture Partners, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. The role We have more ideas than we can build. Your job is to figure out which ones are real, and turn the survivors into a product specification sharp enough for engineering to build from. You won't be generating ideas!! You'll be the person who decides which ones deserve investment — through live customer conve

About the role We are looking for a Senior Business Operations Associate to help run an AI-native operating environment across people, AI agents, and cross-functional teams. This is a high-ownership business operations role for someone who combines strong business judgement with enough technical fluency. You will help turn AI-agent capabilities into reliable production workflows, keep teams aligned in real time, and ensure that AI-heavy processes have clear ownership, quality standards, handoffs, and escalation paths. The role sits at the intersection of business operations, product operations, technology, and digital assets. You will need to move quickly, communicate clearly, understand changing market context, and remain dependable when urgent internal issues arise. What you’ll do Real-time business and team alignment Coordinate real-time alignment across business teams, Engineering, Product, Operations, AI agents, and other stakeholders. Translate business priorities into clear workflows, owners, decision points, and next actions. Identify bottlenecks, unclear handoffs, conflicting priorities, and gaps in execution. Maintain visibility across fast-moving initiatives and ensure critical work continues to move forward. Stay informed about market, product, and digital-asset developments that may affect internal priorities. AI-enabled production workflows Partner with Engineering to identify where AI-agent capabilities can improve business and operational workflows. Help translate business requirements into agent prompts, workflow logic, operating procedures, and quality criteria. Support the deployment of AI-agent capabilities into reliable production processes. Test and refine AI-heavy workflows, including edge cases, failure modes, escalation rules, and human handoffs. Build practical feedback loops between business

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability—both in the development workflow and in production systems. This role focuses on designing and integrating AI-powered solutions using custom agents, Model Context Protocol (MCP), and scalable software engineering practices to accelerate development and deliver reliable, production-grade systems. Our team needs additional support to scale with the increased SMAI Data Science footprint and expand software support for Technology Development workflows and AI enablement. Position Overview: We are looking for an AI Full Stack Engineer who builds modern applications using AI as a first-class capability—both as part of the development workflow and the systems we ship. This role goes beyond simply using AI coding assistants. It requires strong understanding of advanced timely creation, vibe scripting, Rework Rate Reduction, and applying Custom Agents with integrations built around MCP or equivalent experience. The goal is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence into development workflows and delivered applications. Responsibilities: Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards; design, build, test, deploy, and operate full stack software solutions while owning features end‑to‑end including system

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Role & Team The FP&A team is responsible for providing data-driven insights to inform strategic, financial, and operational decision-making across Druva. We are looking for a highly strategic and hands-on Finance Manager of GTM Finance to amplify Druva’s capabilities and growth trajectory. You will be reporting to the Sr Director of GTM Finance and collaborating with cross-functional teams to drive strategy, execution, and process excellence. You will drive deep dive data analytics and strategic projects. Your efforts will directly contribute to operational efficiency, expense management, and customer satisfaction. This role will partner closely with the CRO, CMO, CFO, and GTM leadership teams to translate business strategy into financial plans, operating models, and actionable insights. What You’ll Do Strategic Business Partnership: Partner with the CRO, CMO, and GTM leadership to translate business strategy into financial plans, provide actionable insights, and drive resource allocation and business decisions. GTM Financial Management: Own Sales and Marketing Opex, headcount, T&E, and commission forecasting

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're hiring a Senior Technical Account Manager (TAM) who has already done this job at a SaaS company: someone who has led implementations, owned enterprise accounts and knows what it takes to drive adoption in complex organizations. You'll be a strategic partner and trusted advisor to our customers, combining strong relationship management with deep knowledge of ClickUp's platform. This role sits where customer success, solution strategy and technical enablement meet, and it drives long-term growth, adoption and measurable business outcomes. TAMs own the full post-sales customer lifecycle. That starts with implementation and onboarding and continues through ongoing managed services, strategic expansion and renewal outcomes across your book of business. This role requires an AI-native professional who doesn't just use AI tools but designs, builds and scales AI-powered workflows and agents, and brings that hands-on expertise to customers. TAMs lead with a customer-first mindset. You'll build success plans, guide onboarding and adoption and make sure stakeholders keep seeing value throughout their lifecycle. You'll support technical initiatives like process optimization, workflow design and AI enablement, and you'll also own the overall health, engagement and strategic direction of your accounts. You'll work cross-functionally with Sales, Product and Support so each customer's success story is long-term, scalable and impactful. Technical Account Managers (TAMs) deliver measurable value and meaningful business outcomes across their customer portfolio by focusing on: Customer Enablement & Onboarding: G

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements. As a Senior Staff Software Engineer you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills AI first mindset - Ability to effectively leve

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Team & Mission: Druva Product Platform The Druva Product Platform team builds the shared core SaaS application foundation that every Druva product is built on. Our multi-tenant services, APIs, and control-plane capabilities manage tenant provisioning and lifecycle, Identity & Access Management (IAM/RBAC), distributed job scheduling, usage metering, and platform observability. Because every Druva workload depends on this platform, quality and reliability are critical. A bug or latency spike in the platform propagates across the entire Druva ecosystem. Quality Engineering in this team is a pure software engineering discipline: we build scalable automation frameworks, and implement CI/CD quality gates that safeguard billions of operations each year. Role Overview As a Senior Software Engineer (QA / SDET) on the Druva Product Platform team, you will be the technical lead for quality engineering across distributed multi-tenant microservices, high-throughput APIs, and asynchronous event streams. You will build test strategies, test automation frameworks in Python or Go , design functional test suites including scale &

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

About the Role We are seeking a Manager, Accounts Payable to lead Accounts Payable and Expense operations. This role will manage individual contributors and may oversee team leads while ensuring invoices, payments, reconciliations, tax reporting, and employee expenses are processed accurately and on time. The Manager, Accounts Payable will own team performance and execution while driving process improvements, automation, and reporting. You will work across Procurement, Accounting, Treasury, Tax, Finance, and other teams to resolve complex issues, strengthen controls, and improve the procure-to-pay experience. The ideal candidate is a reliable people leader who uses business context and data to make decisions, advises stakeholders, and delivers measurable operational improvements. What You’ll Do Lead, coach, and develop AP and Expense team members. Manage team performance, staffing, workload allocation, and day-to-day execution. Build a high-performing team with clear expectations, strong accountability, and consistent results. Oversee invoice processing, purchase order matching, coding, approvals, payments, vendor inquiries, and employee expense operations. Ensure AP and Expense activities are completed accurately, on time, and in accordance with company policies and controls. Own balance sheet reconciliations, AP close activities, accrual support, aging reviews, and related reporting. Lead annual 1099 reporting and support other AP-related tax and compliance requirements. Serve as the primary AP contact for internal and external audits, ensuring requested documentation is accurate and complete. Monitor unmatched invoices, open purchase orders, payment exceptions, duplicate payments, credits, and other outstanding items. Identify inefficiencies across AP and Expenses and lead process improvements that increase accuracy, efficiency, and scalability; Drive automation and AI initiatives related to invoice processing, matching, approvals, reconciliations, exception hand

Knowledge Graph & Semantics Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Turn complex data into connected knowledge that drives smarter decisions. The Role Financial services firms face significant challenges – and opportunities – in how they manage and extract value from increasingly complex data. Their ability to compete, comply and transform depends on connecting information across data silos and turning it into knowledge that people and machines can meaningfully understand. Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge graphs can help organisations manage complexity, provide greater context and deliver more explainable outcomes. As a Knowledge Graph & Semantics Consultant, you’ll help our clients understand, design and implement solutions using graph and semantic technologies, advanced data management and analytics. You’ll also explore how approved AI tools, automation and AI-enabled workflows can improve the speed, quality and insight of delivery, while maintaining appropriate human judgement, review and responsible AI guardrails. You’ll contribute to the continued growth of Capco’s Data & Analytics practice, helping develop our capabilities, talent and thinking around how graph and semantic technologies can create value for financial services organisations. What You’ll Do Design and implement knowledge graph, semantic modelling and advanced data solutions that connect structured and unstructured information. Help clients identify and deliver practical use cases for graph and semantic technologies, advanced analytics and AI. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, modelling, analysis and delivery, with human-in-the-loop review and validation. Build Capco’s graph and semantic c

Overview: Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets. You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership. This role is hybrid in our Toronto Office What You'll Do: Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure. LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts. Multi-channel session management: stateful user interactions that move seamlessly across channels. Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back. Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes. Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads. Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors. Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them. Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable. Partner with product and compliance stakeholders to encode domain rules into the system. Set engineering patterns for a growing team: code review, observability, incident habits. What You Have: 6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestratio