Enterprise Account Executive Managed Solutions 3 Jobs

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: The Senior Director, Enterprise Sales will be responsible for cultivating high-value partnerships with pharmaceutical companies by integrating DeepIntent’s technology, data, and audience solutions into their commercial operations, marketing technology stacks, and customer engagement strategies. The Sr Director, Enterprise Sales has a deep understanding of how pharmaceutical companies leverage data, technology, and media to drive commercial success and a strong track record of developing JBPs that increase long-term revenue and integration depth. This role will work cross-functionally within pharmaceutical organizations, engaging with key teams responsible for: Marketing and Commercial Strategy – Driving digital transformation, omnichannel marketing execution, and audience engagement to optimize HCP and patient outreach. Sales and Commercial Operations – Overseeing field force effectiveness, sales enablement, and data-driven decision-making to improve brand performance and customer engagement. Data & Information Management – Managing commercial and real-world data strategy, including customer insights, identity resolution, and integration of external data sources into pharma’s analytics ecosystem. Customer Experience and Digital Intelligence – Optimizing the use of technology to create personalized, data-driven experiences that enhance engagement with healthcare professionals and patients. Technology and Innovation –

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Product Management, Rewards - Enterprise Loyalty Overview: Mastercard’s Loyalty team is part of Consumer Acquisition and Engagement (CA & E) and works with leading financial institutions, retailers, airlines, and digital partners to deliver loyalty capabilities that improve customer engagement and create measurable business value. The team’s rewards products help clients modernize rewards, expand consumer choice, increase program value, and deliver more seamless loyalty experiences across channels and markets. The Director, Product Management, Enterprise Loyalty will help shape the global product strategy for Enterprise Loyalty, define how new capabilities come to market, and support commercialization across regions. This role will partner across Product, Marketing, Sales, Delivery, Servicing, regional teams, and external partners to build clear product narratives, strengthen go-to-market execution, and ensure rewards solutions deliver measurable value for clients, consumers, and Mastercard. Role and Responsibilities: • Contribute to the global product strategy and roadmap for Enterprise Loyalty, with a focus on client value, market relevance, and scalable growth. • Translate client needs, market insights, and business priorities into clear product opportunities, roadmap recommend

Manager, Sales Engineering, Enterprise, Comcast Business — IL - Schaumburg, 1475 E Woodfield Rd. Apply via Workday.

Sr. Analyst, Enterprise Analytics — PA - Philadelphia, 1701 John F Kennedy Blvd. Apply via Workday.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We’re looking for a Senior Systems Analyst, Enterprise Apps (Finance) to join our Enterprise Applications and Architecture team. The mission of our team is to drive automation through an integrated suite of enterprise systems and technologies, streamlining the business operations and freeing up our finance team’s time to focus on high-judgment tasks. In this role, you will serve as our financial systems subject matter expert primarily supporting Zip, Netsuite and other financial technologies. You will partner with our product managers and sourcing, legal, accounting, security team members to translate business requirements into technical solutions that can scale and support the growth of the company. You will join a small, agile and a tight-knit engineering team that is focussed on delivering value. We are seeking individuals who love problem solving and thrive in a continuous-learning and high level-of-ownership environment. What you’ll be doing (ie. job duties): To be completed by all business teams except Eng. Partner with Product Managers and finance stakeholders to implement the product roadmap for Zip, Navan, NetSuite and other financial applications. Analyze current business processes, perform fit/gap analysis and translate the business requirements into technical solutions. Demonstrate knowledge of Zip’s capabilities for key processes: Source to P

Work Flexibility: Onsite It's Time to Join Stryker! Join Stryker's Mako Robotics team as a Senior Product Safety Engineer, helping ensure the safety, reliability, and regulatory compliance of advanced robotic-assisted surgical technologies. In this hands-on engineering role, you will partner closely with electrical, systems, and cross-functional engineering teams to identify and mitigate product safety risks throughout development. You will support electrical safety and electromagnetic compatibility (EMC) testing, troubleshoot technical challenges, and help ensure products meet applicable industry standards. This opportunity is ideal for an engineer with a strong electrical foundation who enjoys practical problem-solving, laboratory testing, and collaborating with design teams to develop safe, high-quality medical devices. What You Will Do Product Safety & Risk Management: Identify, evaluate, and document electrical and system-level safety hazards. Develop and maintain risk management documentation, including hazard analyses, FMEAs, and safety assessments, while recommending practical risk mitigation strategies. Electrical Safety & EMC: Apply electrical safety and electromagnetic compatibility principles to evaluate product designs, identify potential compliance concerns, and support troubleshooting and design improvements. Standards & Compliance: Interpret and apply relevant medical device safety standards, with particular emphasis on IEC 60601 and its relationship to ISO 14971 and applicable regulatory requirements. Testing & Laboratory Coordination: Plan, coordinate, and support electrical safety and EMC testing with internal teams and external laboratories, including UL, CSA, TÜV, and other recognized testing organizations. Prepare test

Pharmacy Technician Back End — Billings-2747 Enterprise Ave. Apply via Workday.

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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 builds AI agents that act on sensitive enterprise data and systems. You’ll make sure the agents, and the platform they run on, are secure by design. You’ll build security controls for autonomous agents operating across multi-tenant enterprise environments, including cloud, on-prem and air-gapped deployments. You’ll solve zero-trust problems where the code isn’t static logic but non-deterministic models making live API calls against sensitive customer data. Our agents orchestrate 100+ LLMs, call third-party tools through MCP, execute code in sandboxes and drive headless browsers, and each of those is an attack surface you’ll help define. Role Overview What you’ll own AI and agent security Threat model new AI agent features before launch: direct and indirect prompt injection, jailbreaks, data exfiltration through agent outputs, and over-privileged tool use Design guardrails for agentic workflows: least-privilege tool and connector scopes, human-in-the-loop approvals for high-risk actions, and output filtering Enforce tenant and data isolation across retrieval (RAG), context stores, and model calls, so no customer’s data leaks into another’s context Secur

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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. The Role Build and manage the infrastructure that powers Ema's AI platform. You'll design cloud systems, automate deployments, and ensure everything scales reliably to support millions of enterprises. What You Own Build and maintain Kubernetes clusters and cloud infrastructure Automate infrastructure provisioning with Terraform and Ansible Implement CI/CD pipelines for fast, safe deployments Build observability systems (logging, monitoring, alerting) Ensure security, performance, and reliability at scale Support multi-tenant SaaS architecture and scaling Qualifications Required 4+ years DevOps, SRE, or platform engineering experience Expert-level Kubernetes and containerization knowledge Terraform and infrastructure-as-code proficiency Cloud platform mastery (AWS/GCP/Azure) Strong systems thinking and distributed systems knowledge B.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalent Preferred Multi-cloud experience Helm charts and deployment automation Monitoring tools (Prometheus, Grafana, Datadog) CI/CD platforms (GitHub Actions, ArgoCD) ML infrastructure experience Compensation offered will be determined by factors such as location, level, job-related

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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. About the role As Ema scales, our corporate IT environment tools, access, devices, and compliance has outgrown an ownership-by-default model. We're hiring an IT Engineer to own it end to end. This is not a traditional helpdesk role. Ema is an agentic AI company, and we expect our own internal operations to reflect that. You'll run corporate IT while systematically automating it, using agentic tooling to remove the manual work rather than absorbing it. The measure of success in this role is how little of it remains manual after a year and every employee’s experience is great. What you'll do Agentic Workflows & Automation: Treat every recurring manual task as an automation candidate, extending existing systems and leveraging AI coding tools to design autonomous workflows. Automated Identity & Access: Shift JML lifecycles, including global employee onboarding, Okta/SCIM provisioning, and access reviews from ticket-driven processes to policy-driven automation. SaaS Lifecycle Automation: Programmatically maintain tool inventories, track utilization, and reclaim unused licenses automatically. Automated Endpoint Security: Manage fleet MDM while automating

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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. The residency The AI Residency is a 6-month builder role, not a research placement. Every engineer at Ema owns delivery end to end — from understanding the customer's problem to shipping, measuring and supporting it in production — and residents are held to the same bar. You won't be parked on one project: you'll contribute across several avenues, all toward one goal — creating real value and impact for our enterprise customers. Real production work. You work in the production codebase, on real customer problems and real production data. Recent residents have shipped agent harnesses, eval infrastructure, inference-cost reductions, PII redaction, automated QA pipelines and backend service hardening used by enterprise customers. End-to-end ownership. You take work from a problem statement to a shipped, measured result — design, build, test, launch, and the follow-through until it's reliable. Mentorship. A senior mentor, weekly 1:1s, regular reviews with your team, and exposure to the founders and engineering leadership. A path to full-time. Top-performing residents are offered full-time roles at Ema. Several of our engineers started as residents. Choose your

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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, Creaegis, 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. Role Overview We’re looking for a Field Marketing Manager, based in London, to build and run Ema’s on-the-ground presence across the UK and Europe. You’ll cover industry events, tradeshows, executive dinners and sponsored programs in our priority markets: the UK, France, DACH and Benelux, with the Nordics and wider Europe as they grow. You’ll be the connective tissue between our BDR, Sales, AI Strategy, Product Marketing and Design teams, turning live experiences into qualified pipeline. You’ll be Ema’s first field marketer in the region, working alongside our US Field Marketing Manager. Our Marketing Lead sets the global event strategy and budget. Within that, you own the UK and Europe calendar: which events we back, which cities we show up in, and how we run them. Then you execute it. We need someone who thrives in startup environments, moves fast, and doesn’t wait for permission to solve problems. If you’ve built field programs across more than one European market, know how to get scrappy when budgets are tight, and can run a booth in London one week and an executive dinner in Paris the next, we want to talk to you. Key Responsibilities Regional Event P