At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You'll lead Vanta's EMEA Solutions Engineering team across the Growth and Commercial segments, developing a strong group of eight SEs while evolving our technical sales motion and helping drive growth in one of Vanta's highest-priority regions. Solutions Engineering at Vanta sits at the intersection of product, technical, and sales. The SE team works alongside Account Executives to drive technical wins, lead discovery, and make the fit between customer needs and Vanta's capabilities real, converting qualified opportunities into closed revenue. In EMEA, that means operating across a wide and diverse market: from established financial and technology hubs across Western Europe to emerging opportunities across the Middle East, Israel, and Southern Europe, each with different regulatory contexts, GRC maturity levels, and buying behaviours. The team needs to show up credibly across all of them. This manager leads the Growth and Commercial SE team, a group of eight SEs spanning a fast-moving, high-priority region. The SE motion is actively evolving from a repeatable demo approach toward a more consultative, value-based model in the right deals, while preserving speed and volume where that remains the right answer. The job is to develop the team and the motion together. What you’ll do as a Manager, Solutions Engineering at Vanta: Lead and develop the SE team: manage eight SEs across the Growth and Commercial segments, build on the existing operating rhythm, and establish a coaching cadence that elevates individual performance and team craft Drive the evolution of the SE motion: work with your team and EMEA sales leadership to shift fro
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About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role You will help build and scale the operating systems that make it easier for customers to get set up on Ramp and reach a simple, self-serve spend experience. You will own the loop that turns customer signals into root causes, prioritized fixes, proactive CX communication, and measurable reductions in customer friction. This role spans a critical setup-to-spend journey. Identity owns much of how a business gets started on Ramp, including login, invites, HRIS / SCIM provisioning, and multi-entity setup. A business should ideally then self-serve into an intuitive, agentic spend experience across policies, cards, and first successful spend. You will help identify and Onboarding product and engineering teams solve issues across that full journey, preventing customer problems from falling between teams. Beyond your product areas, you will also contribute to Product Operations process improvement and product building that allows Product and Engineering teams to scale. You will use AI tools to improve release management, analyze customer feedb
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, Washington D.C., London and Amsterdam. Sales Engineering unlocks and empowers prospects’ full potential on the Plaid Network. We bring product expertise and drive Revenue outcomes by being customer-obsessed technical advisors in the pre-sales process. You’ll work closely with our Enterprise Sales team as the technical lead during the pre-sales process. You will be responsible for partnering with Account Executives, proactively pushing deals forward by overcoming technical objections and building solutions around Plaid products. You will ensure a successful transition to the post-sale stage of the customer lifecycle and partner with account teams to drive adoption of new products by existing customers. You will be expected to have significant knowledge of the Fintech ecosystem and a deep understanding of how clients can best utilize Plaid. Responsibilities Serve as the lead technical advisor for Enterprise accounts from discovery through solution design, evaluation, and post-sale handoff. Partner with Account Executives to align Plaid capabilities to customer priorities across payments, wallets, gaming, travel, and lending. Build alignment with technical, product, risk, and operations stakeholders on complex enterprise initiatives. Lead d
Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are At Justworks, we believe that listening to our customers is one of our greatest strategic advantages. The Voice of Customer (VoC) Program Lead will bring that belief to life by turning feedback into insight, and insight into action. As the founding leader of our VoC program, you’ll architect the systems, standards, and partnerships needed to scale how we listen to customers across their journey. This role lives within the Research & Insights team and collaborates deeply with CSO, Product, Design, Engineering, Revenue, Support and Marketing to ensure that feedback is coordinated, activated, and accountable across the business. We’re looking for a systems thinker with a strong bias for collaboration — someone who can rally cross-functional teams around shared goals, clarify complex problems, and lead without formal authority. You’ll need the storytelling skill to make insights resonate and the operational chops to make them matter. Your Success Profile What You’ll Work On Orchestration & Infrastructure Design and implement a centralized approach for collecting, connecting and managing customer feedback data at scale S
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Engineer, Security Engineering Partners. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to bridge the gap between our security organization and engineering teams by partnering on the implementation of robust security measures at scale, up-leveling existing security capabilities and critical security risk reduction. Responsibilities In this role, you’ll: Design and ship scalable security solutions. Build relationships with engineering to foster cooperative partnerships across key Twilio products and platforms. Partner with product and engineering teams to integrate scalable security capabilities. Use metrics and data on the state of security at the product level, to drive accountability and action. Drive security risk reduction through technical leadership and influence of engineering roadmaps. Lead security reviews for critical features, new initiatives a
Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Core responsibilities Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required Time management: between assisting team members with day to day tasks ranging from incident to project management Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents Detec
The Cyber Deployment Manager partners with customers throughout the full lifecycle—from technical discovery and solution design through implementation, deployment, and adoption. You’ll work closely with Sales and Solutions Engineering during the pre-sales process to understand customer security priorities, assess technical requirements, develop solution architectures, and support demonstrations, workshops, and proofs of concept. After a customer commits, you’ll remain engaged as the technical deployment lead, translating the proposed solution into a production-ready implementation. You’ll guide integrations, establish success criteria, manage technical risks, and help customers operationalize AI across security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation. In this role, you will: Lead technical discovery with security executives, practitioners, architects, and engineering teams. Partner with Sales and Solutions Engineering on solution design, demonstrations, workshops, technical validation, and proofs of concept. Translate customer requirements into clear architectures, deployment plans, success criteria, and implementation milestones. Own the transition from pre-sales solution design into post-sales deployment and adoption. Serve as the primary technical partner during implementation, coordinating customer stakeholders and internal Product, Engineering, Security, and GTM teams. Build and troubleshoot integrations involving APIs, agents, security tools, cloud platforms, data sources, and enterprise workflows. Identify deployment risks, technical blockers, and product gaps, and drive them toward resolution. Help customers establish evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes. Measure adoption and business impact, ensuring deployed solutions deliver meaningful security outcomes. Turn successful customer deployments into reusable
Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are seeking a Manager, Cloud Engineering to lead and develop a team of cloud engineers while serving as a key technical authority for the architecture, reliability, and evolution of our cloud platform. This role combines hands-on technical leadership with team development, driving infrastructure modernization, automation, and operational excellence across our global SaaS environment while building and mentoring a high-performing enginee
Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are seeking a Manager, Cloud Engineering to lead and develop a team of cloud engineers while serving as a key technical authority for the architecture, reliability, and evolution of our cloud platform. This role combines hands-on technical leadership with team development, driving infrastructure modernization, automation, and operational excellence across our global SaaS environment while building and mentoring a high-performing enginee
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent. Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement. Design enrichment and verification workflows. Evaluate in-house cap
Technical Services has nearly 500 global team members in offices spanning the entire globe. The team has offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We have an incredible opportunity for a transformational leader to join MongoDB’s Technical Services team and lead a regional team of MongoDB Support Engineers. This leader will build and develop an AI-native Technical Services team, enabling engineers to support MongoDB’s growing portfolio while embedding AI tools, workflows, and capabilities into daily operations. By combining deep technical expertise with innovative ways of working, the team will improve engineer effectiveness, scale customer support, and drive successful customer outcomes. As a key local representative of Technical Services (TS), this manager will play a central role in establishing and scaling MongoDB’s TS presence in the region. They will partner closely with regional stakeholders, help recruit and develop local talent, and build toward a full, high-performing Technical Services team. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. Typical responsibilities of the team include: Diagnosing and resolving performance related issues, leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements Owning complex and high-impact customer investigations involving AI applications and agentic workflows Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution Creating and impro
AANZARA CORPORATE IS HIRING! Join Our Growing Team AANZARA Corporate is looking for passionate and career-driven professionals to join our expanding team across multiple departments. Freshers and experienced candidates are welcome to apply. Locations: Vallioor Tirunelveli Nagercoil Coimbatore FMCG Department - Channel Sales Executive (Field Sales) Salary: 30,000 40,000/month Job Responsibilities: Visit retailers, Consumers, and supermarkets. Generate new business and maintain customer relationships. Promote FMCG products and achieve monthly sales targets. Collect orders and ensure product availability. Submit daily sales and market reports. Eligibility: 12th / Any Degree Freshers & Experienced Bike & Valid Driving Licence Mandatory Good Communication Skills HR Department HR Recruiter (Office Based) HR Marketing Executive Location: Vallioor Salary: 20,000/month Job Responsibilities: Source and screen candidates. Schedule interviews and coordinate recruitment. Handle employee onboarding and HR documentation. Maintain recruitment reports and candidate database. Support HR operations and employee records. Eligibility: Any Degree / MBA Preferred Good Communication Skills Basic Computer Knowledge Freshers & Experienced Software Department Location: Vallioor Tirunelveli Salary: 20,000+ (Based on Skills & Experience) Open Positions Frontend Developer Cloud Engineer Figma UI/UX Designer Testing Engineer Skills Required: Frontend Developer HTML, CSS, JavaScript React.js / Next.js Responsive Web Design Git & API Integration Cloud Engineer AWS / Azure / Google Cloud Linux & Networking CI/CD Pipelines Docker & Kubernetes (Preferred) Figma UI/UX Designer Figma UI/UX Design Wireframes & Prototypes Design Systems Testing Engineer Manual & Automation Testing Test Case Preparation Bug Reporting STLC / SDLC Knowledge Benefits Attractive Salary Package Performance Incentives Career Growth Opportunities Professional Training Supportive Work Environment Long-Term Career
We are the Experimentation team at Datadog, a startup operating inside one of the fastest-growing companies in software. The team brings together engineers who joined through Datadog’s May 2025 acquisition of Eppo with engineers from across Datadog, and together we are building feature flagging and experimentation into the platform. Both products were recently launched this year, and we are just getting started: we are migrating customers from Eppo onto Datadog while shipping an ambitious roadmap across both flagging and experimentation. Our statistics engineers hold PhDs and are pushing the boundaries of what an experimentation platform can do. Our full-stack engineers move fast, lean on the latest AI tooling, and prototype and ship new features weekly. We talk to customers directly to shape requirements, and our roadmap is driven by our own product vision and sharpened by real customer and sales input. We are looking for an Engineering Manager to lead the team building the Experimentation App. You will own one to two squads to start, partnering closely with our engineers, statisticians, product managers, and designers to turn a deep roadmap into a shipped product. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. What You’ll Do: Lead, mentor, and grow a team of strong full-stack and frontend engineers. Help them grow to the next level and continuously provide them opportunities to develop. Own delivery for the Experimentation App from planning through production, balancing speed with quality in a fast-paced environment. Set technical direction in partnership with your team and our statistics engineers, engaging credibly on architecture and tradeoffs. Partner with Product, Design, and customers directly to shape requirements and turn customer and sales input into roadmap. Foster a culture of fast iteration and high engineering standards through code reviews, design reviews, and blamele
Manager I, Engineering - Onboarding Growth This Engineering Manager will lead the Onboarding team within the Shared Capabilities organization, setting product direction, and coaching and developing team members. They will staff and drive projects that drive new users to adopt Datadog in their organizations. From the first time a new user signs up for a Datadog trial, this team is responsible for making sure they have a world class setup and onboarding experience, and can realize the full value of Datadog in their organization. Onboarding owns the “front door” of Datadog, the very first experience new users and prospective customers encounter. This work is extremely important to company success - improving our onboarding process directly impacts new users ability to find value with Datadog quickly. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling first-time user experiences At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work with Product Management and Design to plan and staff projects for the Onboarding Growth team Coach and develop engineers at various levels Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more Build UX features to streamline the onboarding and trial experience through rapid experimentation Build out data platforms and use that data to personalize the onboarding experience for each user Work directly with product teams to ensure each product has a best in class new user experience Create AI-assisted setup options to make sure initial setup “just works” out of the box Champion the use of analytics data to analyze user behaviour and apply those insights
Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali
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