Cs Connect Jobs

🚀 About WRITER WRITER is where the world’s leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we’re proving it’s possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER’s end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company’s data and fueled by WRITER’s enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Shape how the world’s most sophisticated enterprises succeed with AI. As vice president, customer success, EMEA, you’ll lead the region’s customer success organization and partner directly with C-suite executives at Fortune 500 and Global 2000 companies to deliver measurable transformation—not proofs of concept, but lasting operational change. You’ll own retention and growth, scale a world-class team, and define how enterprises measure success in the agentic era. You’ll be a key member of WRITER’s EMEA leadership team and an active voice in the global CS leadership group, shaping strategy, structure, and culture across regions. This is a builder’s role with global reach - reporting to our COO and working closely with the CEO and CRO to drive WRITER’s next stage of growth. This is a hybrid role based out of our London hub. 🦸🏻‍♀️ What you’ll do Drive industry leading growth and retention by owning ambitious NRR and GRR goals, tying every expansion to quantifiab

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, Mastercard Transaction Services, Compliance Officer and Money Laundering Reporting Officer (MLRO) Mastercard Transaction Services (MTS) and its subsidiaries are the legal entities under which all Mastercard's licensed money transfer and payment initiation services will be conducted, reporting into the Commercial and New Payments Platform (CNPF) division. The MTS business unit and the MTS shared services functions are housed under the umbrella of MTS and are comprised of components central to the activities of a licensed payment services firm. These components include: • Payment/Money transmitter licenses for operating payments business in defined jurisdictions • Contract definition (associated T&Cs) specific to the MTS entity and its umbrella geographies • Associated settlement accounts and other services for the relevant MTS entity • Compliance services including, but not limited to, due diligence, real-time sanctions screening/AML/fraud management, etc. • Regulatory reporting to the relevant regulators on behalf of the regulated business and its subsequent activities MTS LAC (MTS Mexico) is the authorized and regulated licensed entity within Mastercard Transaction Services (MTS) in Mexico through which regulated payments activity is undertaken for our Mexico-based customers and other

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on platform power estimation and optimization Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments. What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience 8+ years of software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Understanding of the Linux power and thermal management features (schedule

Here’s a summary of the role: Diligent is seeking for a Delivery Analyst (Entities) to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle. Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle. Leverage product expertise to provide guidance to customers on best practices regarding solution rollout and project execution. Continue to develop and maintain Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development. Build confidence to lead the implementation process end-to-end independently including engagement with the customer. Work with clients to understand their program goals and how they collect/process data. Support the assessment of source data and document structures, including metadata, naming conventions, relationships, and access requirements, to help define migration scope and mapping needs. Prepare and cleanse data and documents for migration by assisting with deduplication, metadata normalization, validation, and identificati

Who Are We? Thanx is a leading loyalty and guest engagement platform for regional and national restaurants. We help brands drive profitable growth by increasing guest frequency, growing digital sales, and reducing reliance on discounts. Most loyalty platforms work for guests who are already loyal. Thanx unifies loyalty, digital ordering, and marketing automation in one platform that turns first-time and casual guests into regulars, treating loyalty as a business outcome, not a program, and engaging across the entire guest base. Thanx has raised more than $30M from elite investors including M33 Growth, Ribbit Capital, and Sequoia Capital. Our success is rooted in a culture that has attracted some of the best talent in the country, and we are proud of strong employee tenure, a track record of internal promotions, and the company-wide shift to working AI-native over the last 18 months. We credit our cultural “core behaviors” with these accomplishments: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually. Who Are You? You're a product marketer who owns outcomes, not output. You are naturally curious about customers and not-yet customers. You write well and fast, and you get real satisfaction out of turning a customer's results into something a salesperson, a CSM, or a prospect can immediately use. You've spent enough time in growth-stage B2B SaaS to know how companies like ours work: how sales cycles move, what CS teams need, why launches succeed or stall. You have run launches where you set the strategy, not just the deliverables, and you have built positioning that sales adopted because it worked, not because you told them to. You decide what matters and what doesn't. You hold a steady output of high-quality material, you figure things out when the path isn't obvious, and you notice a gap and fill it before anyone assigns it. You are equally comfortable briefing the exec team and sitting on

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. About The Role The Lifecycle Account Manager (LAM) is a strategic, revenue-aligned post-sales role sitting within the Lifecycle Revenue Organization. Partnering closely with Account Executives (AEs) and Sales Engineers (SEs), the LAM owns telemetry-driven account oversight, business value realization, and capacity activation across a dedicated portfolio of customer accounts. This is a commercially accountable role: success is measured not by satisfaction scores alone, but by hard consumption and revenue outcomes — utilization, retention, and expansion. Core Objectives Drive Capacity & Adoption — Eliminate idle or "dark" capacity by driving use-case adoption and workload expansion. Protect Retention (GRR) — Deliver measurable Business Value Outcomes (BVOs) that secure renewals and protect Gross Revenue Retention. Expand Revenue (NRR) — Accelerate Net Revenue Retention by transitioning customers onto continuous platform subscription models (e.g., Evergreen//One, EDC, Portworx). Key Responsibilities Proactive Oversight — Analyze Pure1 telemetry to identify accounts with stagnant capacity utilization. Early Risk Triage — Lead intervention for target account cohorts from T-180 through T-12 to preemptively mitigate churn and down-sell risk. Account Intelligence — Synthesize input across CS, PS, AE, and SE teams to assess stakeholder sentiment, account history, and overall engagement health. Value Mapping — Facilitate post-sa

Why us? Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you'll make an impact Work and grow in a goal-focused, impact-driven full-stack data science team Partner closely with Marketing to build more sophisticated bidding and targeting across Paid Search, Retargeting, and Email Develop models and algorithms that personalise how results are ranked in the product Spot opportunities, propose experiments, and build models that improve customer conversion What you need to succeed 1+ years of relevant experience Experience building and applying machine learning models with clear business impact Strong Python (numpy, pandas, sklearn) and SQL Strong quantitative and programming skills with a product-driven sensibility Ability to clarify a business problem, identify a good solution, and ship it Curiosity about data and outliers — using data to propose and confirm cause and effect Delivery focus: you get things done within a fixed timeline (math/CS competition background is a plus) Interest in using AI to scale your impact Quick learner with the drive for startup pace Comfortable working iteratively and hands-on in a small team Graduate degree in a technical/quantitative discipline Fluent spoken and written English Benefits 25 days annual leave Enhanced private medical, dental and vision insurance

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. As a Staff Software Engineer on the Snowtrail team, you will help Snowflake realize its mission and vision by accelerating the delivery of high quality software to production. You will have the opportunity to design and build software systems to help engineering teams increase their development velocity and provide quality validation, optimized for cost and performance. You will ensure that the team is executing towards serving the current needs of its customers, while also ensuring that we stay ahead of technological trends and future demands. OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE: Experience with SQL or other database technologies including internal design and implementation Experience with query optimization, query execution, compiler design and implementation Experience with MySQL, PostgreSQL internals Experience designing, building, and operating large-scale distributed systems infrastructure Excellent problem solving skills, and strong CS fundame

Here’s a summary of the role: Diligent is seeking Advisory Specialists I (Risk & Audit) to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. This role is open to candidates based in Singapore, Australia and New Zealand . Please note that we are unable to provide visa sponsorship, so applicants must already have the legal right to work in their country of residence. Candidates based in one of our office locations within Singapore, Australia or New Zealand are expected to work from the office at least 50% of the time in line with our hybrid working policy. For candidates based elsewhere within these countries, where we do not have an office, remote working arrangements will be considered. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle Leverage Domain, Industry and Product expertise to provide guidance to customers on best practices regarding solution rollout and project execution Continue to develop Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development Build confidence to lead the implementation process end-to-end independently including engagement

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 Shape Ema's product direction. You'll research customers, prioritize features, work with engineering and design, and drive adoption of innovative AI capabilities. What You'll Own Define product strategy and roadmap Conduct customer research and discovery Write PRDs (Product Requirement Documents) Collaborate with engineering and design to ship features Analyze metrics and drive data-informed decisions Go-to-market strategy and launch planning Qualifications Required 6-10 years PM experience in SaaS or enterprise software Strong cross-functional leadership and communication Experience shipping multiple features end-to-end Data-driven decision making and analytics Customer research and user empathy BTech in CS/related field from top Institutes Preferred PM at high-growth SaaS companies (50-500 employees) Experience with platform or API products AI/ML product experience Enterprise sales support and GTM experience Analytics and A/B testing expertise Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role… We are hiring a Director of CS Operations to own the operating rhythm of our post-sales organization globally: Customer Success, Professional Services, Support & Moderation. This is a player/coach role, our first Post-Sales Operations leadership seat in North America, alongside existing EMEA coverage. This role reports to the VP of Revenue Operations. What you’ll be doing… Renewal forecasting and health-score inspection. Own renewal forecast methodology, accuracy, and variance analysis end to end; run the health-score and renewal-risk inspection cadence; build leading indicators (usage/adoption signals, engagement decay, ticket volume, time-to-value, save rate) that make the forecast defensible before the quarter ends. Predictive retention modeling. Build and own a rolling 12-month GRR/NRR retention model that surfaces cohort-level risk before it reaches the escalation point, not after. Post-sales process and policy. Own the customer lifecycle process architecture: onboarding stages and exit criteria, health-score methodology, QBR and renewal-prep cadence, escalation and save-play processes, and Sales-to-PS, PS-to-CS handoffs, including how expansion and renewal conflicts get resolved. Capaci

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major Software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su

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 . Data Science sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling. As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements. What you'll do: Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making Own a broad scope of data and metrics — from core logging to polished data visualizations Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders Required Skills and Experience: BA/BS in a quantitative field (Math, Stats, Physics, CS, or similar) with 5+ years of relevant experience, or a PhD with 3+ years of relevant experience Proven track record of delivering impa

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Your journey as a Software Engineer Working in our team you will: Think creatively to find optimal solutions to our complex, often ambiguous problems Participate in all stages of developing and serving new platforms for various AI solutions and improving existing Snowflake’s functionalities in the AI domain Work closely with other research, engineering, and business teams to understand and shape the short and long-term product development strategy Serve as a mentor to less experienced engineers, researchers, and product managers Ideal candidate 3+ years of experience writing production-quality scalable code using backend languages (preferred Go, Java, C++, Python) BSc in a technical field (AI/ML, CS, DS, Physics, Math, etc), MSc/PhD is a plus Professional level in building SDKs / web service APIs (REST/ gRPC) Experience with software engineering best practices (programming, testing, version control, CI/CD, docker/Kubernetes, Jenkins, agile development, etc) High levels of curiosity and eager enthusiasm for open-ended problems. Experience and interest in problem formulation based on relatively abstract information Ability to articulate results and complex concepts to leadership Must be able to produce solutions independently in an organized manner, work in a team, and also b

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! The Solutions Engineer (SE) delivers technical sales and product consultancy services to NewBiz, partners and Customer Success. The goal for the SE is to be responsible for the free trials and to help increase win rate and deal size. The SE also helps with maintaining and increasing product knowledge in the NewBiz & CS departments as well as assisting with pre- and post-sales activities and tracking accordingly via Salesforce. What you'll be doing: The SE is required to maintain a good balance in relation to product knowledge, focus on product reach and make sure that Trustpilot can close business by: Set up and run new trials. Participate in pre-sales activities coordinated by sales reps. Coordinate pre-sales activities with allocated sales reps (sales teams). Work closely together with Support, Customer Success, Sales Ops and New Bizz Maintain and update trial reporting accordingly Assist CS in technical solutions for upsells and renewals. Enterprise prioritisation including troubleshooting. Refresher & scope training for trials & supporting modular trials on Ents accounts. CS winback trials Sales clinic. Personalised sessions looking with reps at hard-to-convert leads with technical blockers(e.g. Automation issues, lack of te