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About the Role DoorDash is seeking a Director of Sales Enablement, Training & Go-to-Market to lead the design, delivery, and execution of programs that accelerate the productivity, effectiveness, and growth of our global Sales organization. You will scale enablement across our multi-faceted business model, from SaaS solutions to Ads and Marketplace partnerships, ensuring sellers are equipped with the skills, product expertise, content, and insights to win in every conversation. You will own the full enablement lifecycle: onboarding, ongoing skill development, sales methodology, manager coaching, content strategy, certification, tooling, and the operating cadence that ties them together. You will partner deeply with Sales, Product, Marketing, and Operations leaders to translate strategy into execution, making sure new capabilities are adopted quickly and consistently across all sales segments. As part of this mandate, you will also lead the deployment of AI tools, including Claude, across the Sales organization. AI is becoming core to modern selling, and you will own the strategy for embedding it into seller workflows while serving as the Sales voice in cross-functional GTM forums shaping how AI is rolled out to adjacent customer-facing teams (Customer Success, Partnerships, Marketing, and Support). By pairing operational rigor with sales coaching excellence and applied AI fluency, you will drive faster ramp times, higher productivity, stronger product adoption, and sustainable revenue growth. You’re Excited About This Opportunity Because You Will: Core Sales Enablement Own the Onboarding Experience: Design and continuously improve new-hire onboarding for SDRs, AEs, and AMs across SMB, Mid-Market, and Enterprise segments, with clear milestones, certifications, and ramp targets that demonstrably shorten time-to-productivity. Build Continuous Learning Programs: Run a year-round curriculum of skills training, product education, segment-specific bootcamps, and sales

The DevSecOps Engineer – AI Labs is responsible for implementing security practices within the DevOps pipeline, ensuring secure, efficient, and scalable cloud and on-premise infrastructure. Reporting to the Lead - DevSecOps, this role focuses on deploying and automating security controls, monitoring infrastructure for vulnerabilities, optimizing CI/CD security, and supporting FinOps cost optimization efforts. The position requires hands-on experience in security automation, cloud security tools, and DevOps best practices, ensuring AI-driven applications remain secure, compliant, and cost-efficient. Source: Adani Group | Job ID: 44279

About This Role As a Commercial Account Executive (CAE) Manager at Sigma Computing, you’ll lead a team of high-energy reps focused on delivering outstanding results in the EMEA region. You’ll mentor and coach your team to excel in a velocity sales environment, partnering with customers and internal stakeholders to drive growth and expand Sigma’s footprint. This role is ideal for a passionate leader eager to contribute to the growth of a rapidly scaling business in the Data and BI space. Who You Are A driven, hands-on leader with a passion for coaching and empowering teams to achieve their goals. A natural collaborator with a strong sense of ownership and accountability. Organized and detail-oriented, thriving in fast-paced, dynamic environments. A trusted advisor to both your team and your customers, focused on delivering value and building lasting relationships. What You Care About Building and scaling high-performing sales teams. Coaching and mentoring team members to achieve and exceed their targets. Driving customer success and satisfaction through streamlined, efficient sales processes. Being part of an innovative, mission-driven company reshaping the BI landscape. You’ll Contribute By Leading and mentoring a team of CAEs targeting organizations with up to 2000 employees. Driving revenue growth and achieving team targets through a streamlined and scalable sales motion. Partnering with internal teams to align on go-to-market strategies and operational excellence. Establishing and refining best practices for prospecting, pipeline management, and deal closure. Acting as a trusted advisor to both customers and Sigma’s leadership team. Leveraging your expertise to ensure the team excels in a velocity sales environment. Your Qualifications Experience : Few years of experience managing a successful commercial sales team in a B2B SaaS/software company, OR Few years of individual contributor experience in a velocity B2B SaaS sales role with proven results

Opportunity An exciting opportunity has arisen to join our Stroke Medicine team at an NHS Foundation Trust serving the community of West Norfolk and the surrounding region. We are looking for a committed and clinically excellent Consultant in Stroke Medicine to help lead and develop our stroke service. This is a key clinical leadership role within a forward-thinking department. The successful candidate will join a supportive multidisciplinary team dedicated to delivering high-quality, evidence-based stroke care – from hyperacute assessment and thrombolysis through to rehabilitation and secondary prevention. The post includes a generous Supporting Professional Activities (SPA) allocation, structured on-call commitment, and flexible job planning to support a sustainable and rewarding career. Applications from candidates seeking full-time or less-than-full-time arrangements are equally welcome. This is a genuine opportunity to shape stroke services at a community-facing Trust, make a meaningful difference to patient outcomes, and enjoy an exceptional quality of life in one of England’s most distinctive regions. Key Responsibilities Hyperacute & Acute Stroke Care • Provide consultant-led assessment and management of patients presenting with acute stroke and transient ischaemic attack (TIA), including hyperacute care on the Stroke Unit. • Lead and participate in the delivery of thrombolysis and mechanical thrombectomy pathways, working within regional networks. • Oversee management of patients on the acute stroke unit, ensuring timely, evidence-based interventions and high-quality MDT working. • Provide clinical oversight and decision-making for complex stroke presentations, including large vessel occlusion, haemorrhagic stroke, and rare stroke aetiologies. • Contribute to the stroke on-call rota, providing consultant cover for acute stroke emergencies. Rehabilitation & Secondary Prevention •

The Documentation team creates engaging and informative technical content, particularly our public product documentation: Datadog Docs . This is an opportunity for a Documentation Manager to help us deliver high quality technical documentation and lead one of our growing documentation teams. Our team is hands-on with the technologies that Datadog monitors, and collaborates with technical and product teams to create technical documentation for our APIs, SDKs, developer and security tools, and community developed integrations — thousands of pages of content! This role is remote in North America. What You’ll Do: Manage 3-5 technical writer direct reports, overseeing their day-to-day, helping them make and manage effective content project plans, formally supporting their growth and development, and fostering an environment that encourages positive engagement and performance. Partner with our Product and Engineering teams to create and maintain public documentation for users, developers, and SREs, helping them succeed with Datadog products, features, SDKs, APIs, and developer tools. Experiment with the product, dig into source code, and interview subject matter experts to research technical details for documentation. Collaborate with our contributor community and greater Documentation team to develop and improve documentation standards and processes. Who You Are: You have 5-10 years experience researching and developing documentation for technical topics, like databases, APIs, cloud infrastructure, and performance and security monitoring. You have 2-5 years experience managing a small team of technical writers, coaching their performance, guiding their career journey, and breaking down complex projects into achievable plans. You have publicly available technical writing samples. You are comfortable reading at least two programming languages (e.g. Ruby, Python, Go, bash). You have written or managed documentation as code, and are familiar with modern infrastructure such a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment,

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. 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 sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. About the Role We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns. You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data. The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI. Key Responsibilities Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs al

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using P

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Target Skills and Expertise The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves: Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling. ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch). End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models. Data Pipelines: Experience orchestrating large-scale data generation an

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Bengaluru, India About the Role The Cloudflare Business Development team is the engine driving our expansion across global markets. As part of this high-energy organization, you will lead a critical team focused on the SAARC region, uncovering new opportunities and shaping pipeline strategy. We pride ourselves on being principled in our approach, curious about our customers' challenges, and completely transparent in how we collaborat

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. 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 sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve

Principal Backend Engineer – Java Location: Glasgow (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Architect the next generation of financial platforms. Lead with Java expertise. Deliver impact at scale. The Role We’re looking for a Principal Backend Engineer (Java) to join our Technology & Engineering team. This leadership-level role calls for deep technical acumen, a security-first mindset, and strong coaching capabilities. You’ll architect cloud-native backend systems, shape our engineering standards, and mentor teams to deliver high-performance platforms for global financial clients. This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations. What You’ll Do Lead the design and development of secure, scalable backend systems using Java 11+ and Spring Boot Architect distributed microservices and event-driven systems deployed to public cloud (preferably AWS) Guide technical decision-making across teams and align solutions to enterprise strategies Champion engineering excellence, continuous improvement, and a test-first culture Coach developers, shape delivery processes, and influence broader engineering practices across Capco What We’re Looking For Expertise in Java 11/17+, Spring Boot, and AWS-based enterprise cloud solutions Proven track record architecting secure, scalable services using microservices and CQRS patterns Strong experience in CI/CD pipelines, SQL/NoSQL, Kafka, CloudFormation, and streaming frameworks Advanced understanding of system security protocols (e.g., OAuth, IAM, TLS, encryption) Leadership capability to manage and mentor teams while driving technology strategy Bonus Points For Contributions to thought leadership, mentoring, or RFPs within consultancy or tech environments Hands-on experience with GitLab CI/CD, Cucumber, and Behaviour Driven Design AWS Certified Solutions Architect (Associate or Professional) History of deliver

Principal Backend Engineer – Java Location: Edinburgh (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Architect the next generation of financial platforms. Lead with Java expertise. Deliver impact at scale. The Role We’re looking for a Principal Backend Engineer (Java) to join our Technology & Engineering team. This leadership-level role calls for deep technical acumen, a security-first mindset, and strong coaching capabilities. You’ll architect cloud-native backend systems, shape our engineering standards, and mentor teams to deliver high-performance platforms for global financial clients. This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations. What You’ll Do Lead the design and development of secure, scalable backend systems using Java 11+ and Spring Boot Architect distributed microservices and event-driven systems deployed to public cloud (preferably AWS) Guide technical decision-making across teams and align solutions to enterprise strategies Champion engineering excellence, continuous improvement, and a test-first culture Coach developers, shape delivery processes, and influence broader engineering practices across Capco What We’re Looking For Expertise in Java 11/17+, Spring Boot, and AWS-based enterprise cloud solutions Proven track record architecting secure, scalable services using microservices and CQRS patterns Strong experience in CI/CD pipelines, SQL/NoSQL, Kafka, CloudFormation, and streaming frameworks Advanced understanding of system security protocols (e.g., OAuth, IAM, TLS, encryption) Leadership capability to manage and mentor teams while driving technology strategy Bonus Points For Contributions to thought leadership, mentoring, or RFPs within consultancy or tech environments Hands-on experience with GitLab CI/CD, Cucumber, and Behaviour Driven Design AWS Certified Solutions Architect (Associate or Professional) History of deliv

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co