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AI Tech Lead – Manager Experience- 8-12 years Job Overview: We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies. Key Responsibilities / (Person Specifications): Lead implementation and delivery of AI applications across teams. Design end-to-end AI architectures integrating open-source and enterprise tools. Translate business requirements into scalable AI solutions. Define architecture roadmaps and best practices. Build data pipelines, CI/CD, and monitoring systems. Deploy scalable systems using Docker and Kubernetes. Ensure performance, scalability, and security. Mentor teams and drive knowledge sharing. Key Skills / Job Specifications (Mandatory): AI frameworks: LangGraph, AutoGen, CrewAI. Strong Python with TensorFlow, PyTorch, Keras. Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers). Cloud platforms: AWS / Azure / GCP. Docker, Kubernetes, CI/CD tools. Terraform / CloudFormation (IaC). SQL & NoSQL databases. Distributed systems, REST APIs, GraphQL, microservices.

As Lead of Web Content Engineering & AI Visibility on Datadog’s Web Experience team, you will own how we use our content management system (CMS), build and maintain the pages across datadoghq.com, and improve the technical SEO and AI discoverability that help those pages get found and cited. You will partner across Marketing, UX, and Engineering to turn content into effective web experiences and bring discoverability insights into planning and prioritization. You will also use AI, agents, and automation to shorten the path from recommendation to published page and make reporting and insights more accessible to stakeholders. This role offers the opportunity to shape how Datadog evolves its web presence as search and AI-driven discovery continue to change. 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: Build and maintain product, pricing, solutions, careers, about, and other pages across Datadog’s web properties, partnering with Engineering to support CMS templates, components, permissions, and workflows Partner with Content, Product Marketing, and UX to prioritize web work, structure content for the web, and ensure requests have the scope and lead time needed for high-quality execution Own technical SEO and AI discoverability across Datadog’s web properties, including structured data, heading structure, internal linking, metadata, crawlability, and how AI answer engines interpret and cite pages Establish consistent structural standards across owned web properties and monitor site health to identify and address issues Use AI, agents, and automation to streamline the path from recommendation to published experience and deliver dashboards and insights with less manual effort Who You Are: Experienced building and maintaining web pages in a modern CMS suc

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works. What you’ll do You'll be a product engineer building Brex's Audit Agent — an agentic system that reviews customer spend at scale and replaces the manual work traditionally done by BPO teams. The agent itself reasons; the surrounding product harness is what makes that reasoning useful, trustworthy, and operable for real customers. That product harness is where you'll live. You'll desig

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet's AI go-to-market runs on a simple conviction: the work is the intelligence. The most credible voice in that conversation isn't a marketer who studied the use cases - it's a practitioner who built them. Someone who has run a real enterprise operation on Smartsheet at scale, pushed the platform past its documented edges, wired it into AI workflows before the playbook existed, and can stand in front of a room of skeptical operators and make them lean in. This role sits at the intersection of product marketing, technical storytelling, and field engineering. You'll translate our AI roadmap into narratives the field can sell, prove those narratives with working demonstrations you build yourself, and represent the practitioner's voice in how we position, package, and activate AI across our customer base. This full-time position reports to the VP of AI Market Strategy and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own the practitioner narrative. Turn Smartsheet's AI capabilities — MCP, agentic workflows, connected context — into positioning and use cases grounded in how work actually gets done. Operator-to-operator storytelling backed by things you've built. Carry the story externally. Customer sessions, analyst conversations, community engagement, executive briefings. You'll be one of the most visible technical voices in Smartsheet's AI story, with the depth to survive the Q&A. Build what you preach. Worki

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role We are building an AI Security and Governance capability and need an AI Security Analyst to be the front line for detecting, investigating, and containing risk across every AI tool, agent, and model touching AlphaSense's environment. You will monitor enterprise AI usage end to end, hunt for unauthorized ("shadow") AI and rogue agent activity, and turn raw AI telemetry into triaged findings the security and governance team can act on. Working alongside the Automation Engineer, Data Analyst, and Director, you will be a primary contributor to the evidence base underpinning our ISO 42001 certification and our broader AI risk posture. Key Responsibilities AI Tool Discovery & Shadow AI Monitoring Continuously monitor CASB/SWG, OAuth, and endpoint telemetry to discover unsanctioned AI tools, browser extensions, and API-level agents in u

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most. Responsibilities: Build and optimize AI agents that handle customer support interactions across chat and voice channels Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors Write, test, and refine prompt logic and conversation flows for specific customer use cases Partner with support operations teams to understand workflows, pain points, and opportunities Run rapid feedback loops between customer interactions and product development to continuously improve agent performance Serve as the in-house expert on AI agent development,

Senior Human Data Operations Partner, AI Team: Human Data Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Human Data Operations Partner, you will play a pivotal role in ensuring the smooth execution of end-to-end operational processes that power Prolific's specialised participant pools. You’ll act as a key enabler for client-specific projects, working closely with delivery teams to align participant-related processes with strategic AI customer needs. You’ll also work to transform these processes and workflows into scalable solutions, partnering closely with our product and tech teams to do this. This role demands a hands-on approach to participant onboarding, verification, and quality management, as well as cross-functional collaboration to meet the demands of both internal stakeholders and external clients What you’ll be doing in the role Develop detailed project plans, workflows, and enablement materials to support efficient delivery. Maintain Prolific’s participant pools as high-quality, diverse, and optimised to meet customer demands. Implement and manage verification processes for domain experts and AI taskers, ensuring their skills and qualifications meet client-specific requirements. Continuously optimise participant onboarding and activation funnels to enhance retention and task performance. Monitor participant engagement and quality metrics, using insights to drive improvements. Contribute to upskilling programmes and certification processes for participants involved in complex AI tasks Work closely with product, data, science, and customer success teams to align operational priorities with strategic objec

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We’re hiring the first AI Deployment Manager to partner with some of our most strategic enterprise customers. As an AI Deployment Manager, you’ll drive adoption, deliver measurable business value, and help shape how AI transforms engineering teams. You’ll act as the connective tissue between customer stakeholders and our internal teams, influencing both the Cursor roadmap and each customer’s implementation strategy. This role is highly cross‑functional and customer‑facing. You understand software development workflows, care deeply about developer tools, and love helping engineering organizations succeed at scale. What you'll do Build and grow deep relationships with engineering leaders and power users at key accounts Partner with Field Engineering and Sales to deliver a seamless post‑sale experience Drive adoption of Cursor by aligning usage with business objectives and engineering goals Guide customers on best practices for rollout, prompt strategy, context configuration, and internal enablement Serve as the customer’s voice internally and influence roadmap priorities Provide strategic account planning and regular business reviews with VP‑ and CTO‑level stakehold

On-site | Vancouver Office – 564 Beatty St About EviSmart EviSmart builds the automation layer that dental laboratories run on. A dental lab is a manufacturing operation. A case arrives from a dentist — a 3D scan of a patient's mouth and a prescription — and leaves as a crown, bridge, denture or night guard. In between sit a dozen manual steps: monitoring scanner portals, retyping cases into lab software, checking scan quality, interpreting handwritten prescriptions, designing the restoration. We automate that pipeline. Our software connects to 15 intraoral scanner portals and more than five lab management systems, pulls cases the moment they arrive, reads the prescription, maps it into the lab's own product catalogue, checks the scan, and routes it to design. We serve roughly 6,000 customers across 28 countries from offices in Vancouver, Manila, Seoul and Shenzhen. The automation works. It does not yet work well enough, consistently enough, to run unattended — and closing that gap is the highest-leverage technical problem in the company. What you'll do Establish measurement. Build per-model, per-customer, per-category accuracy reporting that Product and Sales can act on. Nothing else you do matters until this exists. Build the correction flywheel. Capture the quality-control corrections our customers already make, turn them into structured, versioned training data, and close the loop with human review where confidence is low. Standardize the squads. One deployment path, one evaluation harness, one model and dataset registry across restoration design, scan quality, prescription extraction and agents. Solve multi-tenant model behaviour. Thousands of customer-specific product codes, prescription conventions and unwritten preferences sitting over a shared model base — without building a bespoke model per customer. Take inference to production scale. Move workloads from on-premise to cloud with understood cost per inference and real concurrency headroom. •

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is building the economic engine for AI – and it’s working. Today, 88% of the Forbes AI 50 are building on Stripe (and most of the remaining 12% are pre-monetization). The AI GTM team is focused on helping AI-native businesses monetize and scale. We're in a unique position—partnering with the world's most ambitious AI companies (like OpenAI, Anthropic, ElevenLabs, and NVIDIA) to help them grow. This is one of the fastest growing parts of the business, and we need more great people to help us continue to accelerate. What you'll do As a Sales Manager on the AI GTM team at Stripe, you will leverage your sales leadership and product expertise to drive growth through new and existing strategic AI customers. Reporting to the Chief Revenue Officer of AI, you will lead a team of Account Executives responsible for expanding Stripe's relationship with some of the most important AI companies in the world—across payments, billing, and beyond. You will be instrumental in leading in-depth product discussions with customers, developing consultative and solution-based sales strategies, and building deep knowledge of the AI industry and its unique monetization challenges. You will collaborate closely with Product, Marketing, Product Marketing, and User Operations teams to develop and execute against our go-to-market strategy. Responsibilities Develop the long-term vision for a growing AI GTM team and scale day-to-day operations. Lead and mana

As a Marketing Intern at Eulerity, you'll get a real look at how our marketing team works, from content and brand work all the way through the automation and data that drives demand generation. You'll pitch in across content, campaigns, and operations, and you'll actually own projects, not just watch from the sidelines. You'll also get to use AI tools as part of your everyday work. Core Responsibilities Shoot and edit video content across customer testimonials, social clips, and website assets, you're comfortable holding a camera and getting a good shot, then taking that footage through editing and adding animation/motion graphics to make it publish-ready. Help write and schedule LinkedIn posts for our marketing and sales teams, covering conferences, other initiatives, and engagement content. Help out with our podcast: researching guests, prepping talking points, and handling episode logistics. Help keep our website updated, put together our newsletters each cycle, and pitch in ideas for an upcoming site revamp. Assist with research and first drafts for industry insight reports, white papers, and blog posts, using AI tools to help speed up the drafting. Help build outbound email sequences that improve click rates, open rates, engagement, and lead volume. Research industry verticals like Health & Wellness, Fitness, Home Improvement, Real Estate, and Tutoring to help shape our messaging. Help build renewal and upsell materials that support Customer Success. Help track campaign performance and pull together marketing metrics reports. Help keep our lead scoring and attribution data clean and accurate. Learn your way around automation tools like n8n, Zapier, or even Claude agents like Claude Code, and help build workflows in them. About Eulerity Eulerity is an AI marketing automation platform that makes digital advertising simple for businesses of all sizes, from local franchises to global enterprises. As a Marketing Intern, you'll work closely with the team shaping

1KOMMA5° Bei 1KOMMA5° verfolgen wir eine Vision: Living on wind and sunlight forever for free . Dafür bauen wir mit Heartbeat AI das Energiesystem der Zukunft. Bist du dabei? Wir bringen regionales Handwerk und skalierbare Software zusammen: Solar, Speicher, Wärmepumpe und E-Mobilität denken wir nicht einzeln, sondern steuern sie als intelligentes, integriertes Gesamtsystem in unserem virtuellen Kraftwerk. Direkt verbunden mit dem Strommarkt – in Echtzeit, vollautomatisiert. So wird Energie dann genutzt, wenn sie erneuerbar verfügbar und besonders günstig ist. Bis 2030 wollen wir 1,5 Millionen Haushalte auf erneuerbare Energien umstellen. Über 3.000 Menschen arbeiten jeden Tag daran, an mehr als 80 Standorten weltweit, von Finnland bis Australien. Du willst Verantwortung übernehmen und Lösungen bauen, die wirklich zählen? Bewirb dich jetzt und gestalte mit uns die Energiewelt von morgen. Deine Position Wir suchen einen (Junior) SEO & AI Marketing Manager , der*die mit analytischem Scharfsinn und technologischer Neugier unsere Sichtbarkeit aufs nächste Level hebt. Du verstehst modernes SEO nicht als statische Optimierung, sondern als dynamisches Ökosystem, das du durch automatisierte Workflows und KI aktiv skalierst. In dieser Rolle bist du die Schnittstelle zwischen Strategie, Technik und Content. Du stellst die Website-Hygiene sicher und steuerst unsere internationalen Teams mit präzisen Briefings. Deine Aufgaben umfassen: GEO & AEO (Modern Search): Optimierung unseres Contents für Generative Engine Optimization und Answer Engine Optimization, um in KI-gestützten Suchergebnissen (ChatGPT, Perplexity etc.) maximale Präsenz zu erzielen. Automation & KI-Workflows: Eigenständige Konzeption und Weiterentwicklung von automatisierten SEO-Prozessen (z.B. automatisierte Briefing-Erstellung) unter Einsatz moderner KI-Tools. Website-Hygiene & Monitoring: Aufsetzen und Überprüfen automatisierter Sanity-Checks und technischer Crawls (z.B. mit Screaming Frog) sowie das direkte A

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. We're hiring a versatile AI Product Engineer to join our Business Function team — a hybrid builder-strategist who can define, design, and deliver AI-enabled solutions that move the needle on business outcomes. This role is uniquely positioned at the intersection of business strategy, AI capability, and engineering execution. You'll own the what and the why of AI products in the business function, while being deeply fluent in the how — prototyping, scaling, and operationalizing innovative AI solutions. You will be the connective tissue between collaborators, data, and AI — translating ambiguous business problems into shipped, adopted, and measurable AI products! Responsibilities: Own the end-to-end product lifecycle for AI solutions in the business function — from vision, roadmap, and backlog to adoption and measurable outcomes. Lead discovery — user research, persona development, and requirements gathering — and maintain the product vision, roadmap, and prioritized backlog. Serve as the single voice of the customer for the agile delivery team; translate business needs into user stories with clear acceptance criteria and facilitate backlog refinement, sprint planning, demos, and release planning. Prototype GenAI and Agentic AI solutions, including prompt/context engineering and evaluation. Integrate LLMs via APIs, function/tool calling, and structured outputs; test and validate AI agents that automate or augment business workflows. </

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role builds the structured knowledge that collective intelligence reasons over. You own the KO (knowledge object) graph: the layer that turns a community’s scattered expertise into connected, queryable knowledge the COGENT architecture can use. You work where messy real-world data becomes trustworthy structure: ingesting, resolving, connecting, and modeling knowledge so reasoning has something solid to stand on. You partner closely with neuro-symbolic AI and applied AI, and you are the reason the platform can answer questions that span a community’s knowledge instead of isolated documents. Why this role exists Language models are fluent, but fluency is not knowledge. To reason over a community’s expertise with rigor, the platform needs that expertise structured, connected, and trustworthy, not just retrieved as text. Building a knowledge graph from real, fragmented sources is hard: entities to resolve, relationships to infer, quality to enforce, and provenance to preserve. The graph is only as good as the engineering behind it. The AI/ML Data and KO Graph Engineer builds that foundation. You turn scattered knowledge into a graph the COGENT architecture can reason

AI Software Engineer, Agent Harness Location: Bengaluru, Karnataka (or throughout India remote-friendly with travel) About EnCharge AI EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity We serve open-weight models and our own bespoke checkpoints on EnCharge hardware. The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code. Key Responsibilities Own the harness architecture end to end — agent loop, safe execution, context management, knowledge base, memory, permissions, orchestration, outputs, interfaces, observability — one component per layer, with clear interfaces so layers can be swapped. Build the pieces with no open-source equivalent e.g. session semantics, enforced permissions, memory in a human-editable file, orchestrator, and outputs. Keep pace with the models: adapters, prompt formats, tool-call schemas, stop conditions, benchmarking and evaluation. Make tool use reliable across models of uneven tool-calling quality — validation, repair, retries, fallbacks. Develop agents, tools, and MCP servers for internal and customer use cases, and review them for security before they ship. Build the evaluation harness: task suites, regression runs on every model or harness change, cost and latency per task alongside quality. Define the interfaces: