Agent Post Training Jobs

About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability - through structured training, technical enablement, and services. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. Who We Are This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA. What You’ll Achieve Own the GTM strategy, operating rhythm, and growth plan for Germany, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution. Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions. Scale a country-first GTM motion that brings Notion closer to German customers through local executive engagement, market nuance, and faster field-level decision-making. Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion. Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across Germany. Embed Notion’s AI-era GTM model across the team, including agent-en

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Brief We are looking for a Product Analyst to join our product team and support data-driven decision-making across the product lifecycle. This role focuses on analyzing product performance, user behavior, and key metrics to improve customer experience and drive product growth. You will work closely with Product Managers, Engineering, Design, and other stakeholders to translate data into actionable product insights. Key Responsibilities * Analyze product performance, user behavior, and feature adoption to identify optimization opportunities * Define, track, and monitor product KPIs such as engagement, retention, conversion, and growth * Build and maintain dashboards and reports using spreadsheets, SQL, and BI tools * Partner with Product Managers to support roadmap prioritization and feature impact analysis * Conduct funnel, cohort, trend, and root-cause analysis * Support product launches by defining success metrics and performing post-launch analysis * Analyze product ratings, reviews, and customer feedback to inform product improvements * Drive small to medium-scale analytics initiatives end-to-end * Collaborate with cross-functional teams to present insights and recommendations * Benchmark products against industry trends and best practice*s Required Qualifications * Bachelor’s degree in Business, Economics, Mathematics, Engineering, Computer Science, or a related field; Master’s degree preferred * 3-5 years of Proven experience in a Product Analyst or product-focused analytics role * Strong proficiency in SQL and working with relational databases * Strong experience with spreadsheet-based analysis and da

About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to

The IT Go-to-Market (GTM) organization builds and operates the technology platforms that enable the end-to-end customer lifecycle, spanning Sales, Revenue Operations, Customer Support, Customer Success, and Professional Services. As a Senior Product Manager on the IT GTM team, you will own the product strategy and roadmap for post-sales technology platforms, including CRM, Service Cloud, support operations, customer portals, AI-enabled support capabilities, and enterprise integrations. You will partner with business and engineering leaders to define product vision, prioritize investments, and deliver scalable solutions that improve customer and agent experiences, drive operational efficiency, and support business growth. We are looking to speak to candidates who are based in Palo Alto, New York City, Seattle, or Austin for our hybrid working model. Responsibilities Domain Expertise Proven experience modernizing Technical Support platforms, including workforce planning, workflow automation and optimization, customer and partner collaboration and i, and knowledge-sharing solutions Strong understanding of end-to-end support user journey, including case creation and management, omni-channel case routing, prioritization, system integrations, and AI-driven proactive customer engagement Extensive knowledge of integration patterns across Salesforce Sales Cloud, Service Cloud, external support portals, and analytics platforms to deliver seamless customer and agent experiences Broad understanding of the post-sales ecosystem spanning Professional Services, Technical Support, and Customer Success, with the ability to design solutions that optimize cross-functional workflows Understanding of expertise in customer and support agent journeys, support processes, and operational workflows, with a track record of leading large-scale digital transformations and delivering custom solutions that address complex business challenges Expertise in building and scaling technology solutions f

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters. Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes. Founded by leaders from Google, Coinbase, and Okta , and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution , not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care about building and shipping real AI systems that work in production , this role is for you. Who You Are The Customer Engagement Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Current Office Near to Kaki Bukit MRT, Singapore Will Relocate to Tai Seng MRT in August 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Qualifications [ Fulfill all 5 requirements ] Bachelor’s Degree in any field is preferred for this post. Minimum 3-5 Years of hands-on experience handling Company's Official Website for E-Commerce Duties Solid understanding of platform policies such as Amazon, Shopee, Lazada , etc. Familiar with Website traffic & conversion, Google Analytics, A/B testing, CPC, CRO Proven experience in cross-border e-commerce (B2C) is an advantage, particularly for the Australia and Europe & US Markets. This Role will mainly focus on handling Reolink Official Website (E-Commerce) & Amazon for different region as other portals like Shopee, Lazada are handled by overseas distributors / outsource agent. Manage and maintain the company’s e-commerce storefronts across multiple platforms, ensuring smooth daily operations and optimal store performance, with a focus on the Australia and Europe & US Markets. Upload product listings across platforms, including writing and optimizing high-quality titles, descriptions, and item specifics, aligned with target market preferences. Conduct keyword research and listing optimization to improve product visibility, search

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Office Near to Kaki Bukit MRT, Singapore Relocate Near Tai Seng MRT in Aug / Sep 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Qualifications [ Fulfill All 4 Requirements ] Bachelor's Degree in any field is preferred for this post. Minimum 2-5 Years of hands-on experience in e-commerce company's official e-commerce website or Amazon. Must be familiar with Website Traffic & Conversion, Google Analytics, A/B testing, CPC, CRO. Experiences in handling online store, online sales operations and online sales growth duties. Proven experience in cross-border e-commerce (B2C) is an advantage, particularly for the Australia and Europe & US markets. This Role will mainly focus on handling Reolink Official E-Commerce Platform & Amazon as other online portals like Shopee, Lazada are handled by overseas distributors / outsource agent. Manage and maintain the company's e-commerce storefronts across multiple platforms (Official website & Amazon) , ensuring smooth daily operations and optimal store performance, with a focus on the Australia and Europe & US Markets. Track and analyze sales performance, traffic, and conversion data across platforms, provide actionable insights and continuously optimize product and pricing strategies. Upload product listings across platforms, including writing and optimizing

What we're building Mutiny is the self-improving AI infrastructure for GTM teams to execute faster and close more revenue. Our ambition is to do for revenue velocity what Cursor and Claude Code did for engineering velocity. With Mutiny, everyone in sales and marketing gets a bench of GTM athletes that handle any work across their revenue motion and learn from what's actually moved their deals. In April we re-launched the product as an agent-first platform. Anthropic showcased us as a leader in AI GTM. MRR is growing more than 70% month-over-month, with customers like Uber, Rippling, and Snowflake. We're backed by Sequoia, YC, and Insight, and we're building a generational company. The opportunity Most post-sales leaders inherit a process. You'll build it. As our AI strategist lead, you'll own Mutiny's managed account book and lead the technical solutions function that backs up our most complex customers. The teams running Mutiny (Rippling, Uber, Snowflake, Zendesk, and Gusto) are betting hard on AI, and they need post-sales partners who move their roadmap forward, not just their renewal date. You'll set the bar for what great support looks like, build the playbooks that let CS scale, and step into people management as we hire AI strategists underneath you. This role is in person in New York City. The teams running Mutiny (Rippling, Uber, Snowflake, Zendesk, and Gusto) are betting hard on AI, and they need post-sales partners who move their roadmap forward, not just their renewal date. They don't need a partner who tracks their renewal date; they need one who moves their roadmap forward and shows them what's possible with the product before they ask. You'll set the bar for what great looks like, build the playbooks that let CS scale, and grow into people management as we hire AI Strategists underneath you. This role is in person in New York City. What you'll own The managed book. Onboarding, adoption, retention, and expansion across every managed account at Mutiny. T

Datadog’s Technical Solutions organization includes 1,200+ sales engineers, support engineers, post-sales experts, and solution architects. They run on an ecosystem of enterprise platforms and internal tools that directly shape how we serve customers. Technical Solutions Operations (“TSO”) owns that ecosystem. We manage the full lifecycle of the systems TS depends on: Zendesk, Jira, Confluence, and a growing portfolio of off-the-shelf and purpose-built tools. We do the work to operate, maintain, and evolve the platforms powering daily workflows across TS. When a vendor tool reaches its limits, we extend it through customization, integration, or targeted solution development, tapping internal partners across Datadog as needed. We’re looking for a Systems Engineer who wants to own enterprise platforms end-to-end. You go from understanding the business process, to designing the right solution (whether that’s configuration, integration, or code), to measuring whether it actually moved the needle. 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 enterprise systems through their full lifecycle. You’ll be the technical owner for one or more platforms that TS relies on daily. That means understanding how the system is used, where it’s falling short, what’s coming from the vendor roadmap, and what needs to change. You drive improvements from assessment through implementation. Engineer solutions that create leverage. Not every problem is solved by configuration. You’ll build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of 1,200+ technical experts. Where AI can make a solution smarter (e.g., intelligent routing, automated triage, agent-assisted workflows), you'll include AI in the initial design, no

We are looking for a Senior Partner Solutions Architect to lead technical engagement with independent software vendors (ISVs) and strategic technology partners. You will help partners build, embed, deploy, validate, and go to market with MongoDB-based solutions that create repeatable customer value and accelerate MongoDB adoption. This role combines enterprise architecture, partner engineering, technical pre-sales, solution assurance, and go-to-market enablement. You will work across the complete partner lifecycle—from opportunity discovery and business-value alignment through architecture, validation, design wins, launch readiness, and post-launch reuse. You will be successful in this role if you can move fluidly between a partner’s product architecture, a customer’s business problem, MongoDB’s technical capabilities, and the field motion needed to scale the outcome. We're looking to speak with candidates based in Mexico City for our hybrid working model. What you will do Serve as the senior technical advisor for strategic ISV and technology-partner engagements, including embedded software, SaaS, BYOA/BYO-EA, AI, and agent products Lead technical discovery and architecture reviews that clarify the partner’s workload, adoption path, deployment model, customer segment, success criteria, and MongoDB value proposition Guide partners through a repeatable technical validation and solution-assurance process covering architecture, deployment, security, compliance, performance, scale, resilience, operability, upgrades, support ownership, and lifecycle management Establish evidence-based readiness gates and partner maturity assessments; distinguish clearly between tested, supported, recommended, and go-to-market-approved claims Design reference architectures, integration patterns, sizing guidance, deployment blueprints, quickstarts, demos, troubleshooting guidance, and partner-facing documentation Help partners build MongoDB into shipped products, SaaS platforms, AI applicat

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role The AI Outcomes Manager is DevRev's unified post-sales owner — bringing Customer Success and Customer Support together into a single role. Instead of handoffs between siloed teams, you own accounts end-to end: resolving issues, driving adoption, managing escalations, and making sure customers extract measurable value from what they bought. You manage each account by its health and needs — proactively spotting risk and opportunity — rather than by whether a given interaction is labelled "support" or "success." AI is your multiplier, not a tool you use on the side. Our AI agent handles first-line triage, ticket classification, routing, knowledge retrieval, and deflection — so you can focus on what AI can't do: complex judgment, strategic enablement, relationship building, and driving outcomes. You'll be measured not just by what you do directly, but by how well you leverage AI to scale across a full portfolio. What you'll own Your portfolio — a book of enterprise and growth accounts under single, accountable ownership. The model protects depth over volume. The customer relationship, end-to-end Own accounts from implementation and go-live through adoption, renewal health, and expansion. Be the customer's

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 30% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent ac

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 80% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 80% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy