Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role In the Indian pharmaceutical industry, majority of the top 30 organizations are revising their product portfolio to include complex generics, biologicals, biosimilars etc. They are also expanding into high-value therapy areas such as oncology, cardiology, immunology which contribute significantly in saving human lives. These customers are revisiting their go-to-market strategy to expand their presence in markets beyond US such as like Europe, LATAM, Japan and so on. These changes demand a proven unified RIM system in place which can provide a robust data model for the regulatory data, manage/track registrations, handle submissions and health-authority interactions and perform publishing activities. The Regulatory Strategy (Sr.) Director builds strong relationships with stakeholders, guides the regulatory and IT leaders on the successful transition & adoption to new ways of working and also guides them on the ways to realise exceptional value from Veeva RIM. Develop and implement the strategy for Veeva RIM suite of applications, customized to meet the unique needs of the Indian market, while driving broad adoption and usage across both large and small customers in India. Engage proactively with customers to ensure their success with our products. Win customers seeking robust and unified RIM suite by understanding and clearly communicating Veeva RIM suite value through process improvement as well as business metrics such as speed-to-market, right-first-time and operational excellence. Collaborate closely with all internal teams—Product, Services, Solution Consulting, Sales —both locally and globally, to evolve our offerings and maximize the value they deliver to customers. Identify opportunities for expansion and work with marketing and sales teams to define strategies to capture these customers. Own the growth plans and pricing strategies for our products in India. Around 15 year's experience working in India or global pharma industry either directly in or as a solution provider/consultant to the life sciences industry Understanding of Regulatory business processes and technology in th
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What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we're a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It's faster, safer, cheaper, and, above all, way better. We're backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The role: We are looking for a Head of Data Science to build Paddle's data science capability from the ground up. Our Merchant of Record model gives us a data position no PSP or billing provider has: subscription and pricing context alongside granular payment-outcome data, across thousands of software businesses. This role exists to turn that into economic value by putting machine learning and agentic systems into production. The mandate is deliberately narrow and deliberately ambitious: data science at Paddle owns automated decisioning inside the product — traditional machine learning and agentic systems alike — not decision-support analytics. We have a long list of candidate opportunities than we can fund, spanning payment performance and revenue recovery, sales and marketing operations, growth and monetisation intelligence, and risk, trust and compliance. We have a working hypothesis about which of these pays back first, and we'll share it — but part of the job in your first quarter is to pressure-test it, size the alternatives yourself, and tell us where to start. This is a founding role, and for the first few quarters it is a building role more than a managing one. You'll be the only person in the function: doing the analysis, engineering the features, training and evaluating the models or agents, taking the first system live with our engineering teams — and then operating it, answerable for its uptime, its drift and its numbers. Once the first use cases are proving out, you'll hire and lead a hub-and-spoke team of data scientists and machine learning engineers embedded across our highest-value business areas. You'll report into the VP of Data and work in close partnership with Product, Payments, Engineering, Risk and Finance. What you'll do: Prioritise which opportunities have the biggest impact.. Build a value-based use-case backlog across payment performance and revenue recovery, sales and marketing operations, growth and monetisation intelligence, and risk, trust and compliance; size the leading candidates properly; and make the call on sequencing with the relevant Product, Risk, RevOps and Finance stakeholders. This gets refreshed quarterly. Personally deliver the first system end to end: the analysis and back-test, the features, the model, policy or agent, the deployment, and the shadow and A/B tests that prove it works. Not a spec handed to someone else to build. Operate what you deploy. Own monitoring, retraining, drift response, incident handling and rollback for live decisioning, alongside the engineering teams whose services call it — and set the expectation that the function runs its systems rather than shipping them. Work across both traditional ML and agentic systems, and be honest about which a problem actually needs: a propensity or uplift model, a policy of rules, or an agent with tools, evals against golden answer sets and trace-level observability. Several of our strongest candidate use cases point each way. Build and lead the team — hire senior data scientists embedded in value areas and machine learning engineers in the hub, and set the professional standards, shared methods and reusable components the function runs on. Establish the production stack alongside Data Platform and Engineering: reproducible training data, code and artefacts; a model registry; inference services with real latency, availability and rollback requirements; historically accurate features where decisions need backdated reconstruction; eval harnesses and trace observability for agentic workflows; and monitoring for data quality, drift, model performance and economic outcomes. Start ad hoc where that's sufficient and platformise once the first use cases have shown what's actually needed. Own value capture end to end. Shadow-test and A/B test every deployment against the incumbent strategy, translate metric movement into a financial number on a methodology co-signed by Finance, and publish a quarterly report on realised value. Set the governance model for automated decisioning — proportionate risk assessment, clear ownership, latency and availability requirements, human escalation and rollback — working with Legal, Privacy, Compliance and Risk on GDPR, EU AI Act and payments obligations, and producing the evidence early enough to shape the design. Define the boundaries and the working relationship with Product Science, Analytics Engineering, Data Platform and AI Enablement, so accountability for decision support versus automated decisioning stays unambiguous. Deliver cross-functionally: embed in delivery groups with product owners, domain experts and platform engineers rather than handing models over the wall. We'd love to hear from you if you: Experienced leading data science or ML teams that own systems in production, with deployments that moved a commercial metric and kept running afterwards. Proofs of concept and dashboards are not what we're hiring for. Hands-on now, not formerly. Your first quarters are spent writing SQL and Python, engineering features, evaluating models and agents, and doing the work that gets a system live — not reviewing someone else's. Experienced across both traditional ML and agentic systems, and clear about how they differ in practice: propensity and uplift models, feature pipelines and drift on one side; tool and context design, prompt and retrieval iteration, evals against golden answer sets and trace observability on the other. Practised at running live systems rather than just launching them — monitoring, retraining, incident response, rollback, and the on-call reality of a decision the business depends on. Pragmatic about method: happy to argue for rules or heuristics where they capture most of the value, and to reserve models and agents for where they genuinely earn their keep. Comfortable with an undefined starting point. There's a long list of candidate use cases and a strong internal hypothesis, but no fixed roadmap — you'll be expected to form your own view, back it with numbers, and defend it to an executive audience. Strong on measurement — experimentation, uplift modelling, back-testing — and willing to hold your own work to a financial number that Finance will scrutinise. Fluent in the engineering side of production ML and agents (training pipelines, model registries, inference services, feature stores, drift detection, trace observability) and able to hold your own with senior engineers on latency, availability, observability and rollback. Able to hire, level and develop senior data scientists and ML engineers, and to set standards for a function that doesn't exist yet. Credible with executives and commercial stakeholders: you can take a use case from business problem to value estimate to prioritisation decision, and say no to low-value work. Experienced in payments, fintech, subscriptions, high-volume commercial operations or another regulated transactional domain — enough to get to a credible value estimate in a new area quickly. Comfortable treating regulated ML as a design constraint rather than paperwork — model risk assessment, DPIAs, auditability, traceability of model and policy versions to production decision logic. Everyone is welcome at Paddle At Paddle, we're committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don't care if, or where, you studied, what you look like or where you're from. We're more interested in your craft, curiosity, passion for learning and what you'll add to our culture. We encourage you to apply even if you don't match every part of the job ad, especially if you're part of an underrepresented group. Please let us know if there's anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We're committed to building a diverse team where everyone feels safe to be their authentic self. Let's grow together. Why you'll love working at Paddle We're a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle Together - "None of us, is as smart as all of us" Paddle Simply - "Simple can be harder than complex: you have to get your thinking clean to make it simple" Paddle for others - "We can realise our wildest dreams, so long as we help enough other people to realise theirs" We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We're a 'digital-first' company , which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.
Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers' customers. We're growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn't need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
The Role As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You'll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You'll drive customer retention, revenue realization, and long-term advocacy while mentoring team members to elevate the organization's collective impact. You'll build deep relationships with senior stakeholders, understand intricate technical environments inside and out, and navigate global account teams to deliver measurable impact in high-pressure scenarios. Key Responsibilities Customer Advisory Proactively identify and mitigate risks in accounts with significant technical complexity by advising on advanced operational strategies and best practices. Deliver cross-disciplinary solutions to critical customer challenges, accelerating time-to-value and guiding to achieve their business goals through their MongoDB deployments Conduct comprehensive customer business reviews for Enterprise accounts, analyzing technical health and risk while translating insights into business-critical outcomes. Partner with senior technical and business leaders to align on objectives and champion mutual success plans that foster long-term advocacy Account & Portfolio Management Drive cross-functional development of account strategy and take ownership of elements that drive customer maturity, lifetime value, retention, and revenue realization. Proactively manage a diverse portfolio of Enterprise customers across various stages of the journey, creating and executing strategies to maximize value realization, advocacy, and long-term success Track and report progress against key business outcomes, demonstrate control of the forecast by providing informed predictions to senior leadership for business predictability, and identify new opportunities to expand customer impact by collaborating with presales teams Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI fluency to enhance customer engagement processes, driving efficiency and productivity in delivering technical solutions Internal Collaboration & Customer Advocacy Amplify the voice of the customer within MongoDB, leveraging technical insights and customer perspectives to influence MongoDB's product roadmap and coordinate across Sales, Product, Services, and Support to drive long-term health and value realization Connect customers with the right internal resources, including Executive Sponsor engagement, while contributing to regional and global best practices to strengthen team success and act as a force multiplier for the organization Support team growth by participating in the interview and ramping process for new hires, coaching peers to foster development and knowledge-sharing across the region What You Will Bring Relevant Experience: 7 to 10+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product Accountability: 4+ years experience being accountable for customer health and revenue realization for Enterprise customers Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes and solve complex problems across varying audience types from Developers to C-suite Education: Bachelor's degree in Computer Science, STEM, or equivalent technical work experience About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 426476 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $97,000 — $190,000 USD
We are seeking an experienced and results-oriented leader responsible for our UKI Customer Success team. In this role, you will manage managers and foster the growth and success of both our customers and team members. As the Director of Customer Success for the UKI, you will drive the recruitment, coaching, mentoring, and development within the region, empowering our high-touch Customer Success teams to deliver exceptional value to customers, hone their skills, and advance their careers. Beyond talent development, you will be responsible for designing and executing strategies to boost customer retention and satisfaction, identify expansion opportunities, and enhance customer adoption of MongoDB. Your role will involve close collaboration with senior leaders across the go-to-market (GTM) ecosystem, including Sales, Solution Architecture, Product, Professional Services, Marketing, HR/Recruiting, and Customer Support. We are looking to speak to candidates who are based in London for our hybrid working model. We're looking for someone with: Bachelor's degree, technical degree preferred 7+ years people management experience 15+ years relevant experience and subject matter expertise in Customer Success, Account Management, Client Services, or similar customer-facing roles 10+ years experience working within or supporting large enterprises Experience leading leaders A passion for hiring, developing and retaining a team of managers; your team's success is your top priority Experience setting org/geo-wide direction for customer success programs and allocating resources to drive operations in alignment with the strategy Track record of leading fast-growing teams and using data to drive initiatives and inform decision-making processes that impact long-term company operations and success Experience as a CS leader managing executive level internal and external stakeholder relationships; includes collaborating with, and influencing cross-functional executive stakeholders (Sales, Marketing, Support, Product, etc.) on strategic GTM and company-wide initiatives Demonstrates ability to communicate a compelling vision and motivating a team to deliver excellent results in a fast paced environment Experience with enterprise infrastructure technologies; familiarity with MongoDB or NoSQL databases is a plus but not required The ability to navigate ambiguity with perseverance, positivity, and a clear point of view. An adaptable mentality. You thrive in an ever-changing environment and continuously seek to improve yourself, your team, and your processes Outstanding verbal and written communication skills, with the ability to present to a diverse audience both internally and externally Role Overview & Key Responsibilities People Leadership: Recruit, mentor, and develop frontline up to Sr Manager-level leaders in the Customer Success team Execution: Define and adhere to a set of analytical metrics to guide the team's direction; achieve quarterly and long-term targets Build Programs: Design and implement initiatives to enhance customer retention, expansion, satisfaction, and product adoption Executive Presence and Communication: Cultivate and maintain relationships across MongoDB teams, organizations, and offices About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 3273572924
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This role sits within our Digital Customer Success team. This team exists to manage and evolve how we serve customers through digital and agentic experiences. The team helps MongoDB deliver a consistent, personalised and relevant experience using data, lifecycle programmes, automation, and human judgement where it matters most. We are looking for a Digital Success Manager to foster high-impact customer relationships at scale by leveraging data, automation, and digital channels to deliver tailored, value-led experiences. Blending strategic insight with digital programmes, you will advance our Digital-First strategy and achieve key organizational goals. Serving as a subject matter expert across a high volume of low-to-mid-tier accounts, you will build deep knowledge of the long tail of your assigned region, analyzing retention trends and uncovering new ways to add value. Rather than conducting traditional 1:1 meetings, you will drive customer outcomes using scalable digital check-ins, automated health-score triggers, and 1:many outreach, stepping in personally as the human-in-the-loop escalation point when judgment, nuance, or a personal touch is needed. Because this role is still evolving, we seek an entrepreneurial self-starter who is curious, driven, and excited to take initiative, someone who is knowledgeable and excited about AI and uses it hands-on to accelerate their work, run their own research, and manage their own programmes, but also understands its limitations. In this role you will partner closely with sales and cross-functional teams to shape the future of Digital Customer Success. We are looking to speak to candidates who are based in Gurugram/Bengaluru for our hybrid working model. Who You Are Our ideal candidate thrives in dynamic environments, is passionate and knowledgeable about AI, and brings strong analytical skills paired with a deep, customer-centric mindset. You are: Regional Expert & Escalation Point: Deep, long-tail knowledge of your assigned region, you know the accounts, patterns, and risks well enough to be the human-in-the-loop escalation point when automated programmes need judgment or a personal touch AI-Native & Hands-On: Genuinely excited and knowledgeable about AI, and you use it in your day-to-day work, building your own dashboards, running your own research, and managing your own programmes rather than waiting on others to build the tooling for you Curious & Driven: Self-directed, endlessly curious, and always looking for the next insight, improvement, or opportunity to add value Independent, Yet a Great Partner: Comfortable working independently and owning your patch, but equally strong at partnering, especially with long tail sales teams, to understand customers and co-design programmes together Data-Driven & Analytical: Skilled at analyzing customer trends and data to unlock value and optimize customer outcomes at scale Digital Channels Specialist: Experienced in using scalable 1:many digital engagement models and outreach strategies to connect with customers effectively Strategic Thinker: Able to translate customer insights into strategic initiatives that advance Digital-First goals and drive long-term success What You'll Do: Serve as the face of Digital CS for your region, building deep knowledge of the long tail of your assigned region and acting as the key domain expert, advocate, and human-in-the-loop escalation point for digital customer success strategies in your region Lead customer engagement and retention through digital-first programmes, hosting 1:many interactive workshops, webinars, and targeted digital touchpoints. Drive the regional 1:many strategy for our long tail segment, stepping in with selective 1:1 interactions where appropriate to ensure high impact Partner closely with sales and account teams to deeply understand customers, co-design digital-first programmes together, report regional insights, and unlock enablement opportunities, improve onboarding, and mitigate churn Use AI tools and techniques to build your own dashboards, conduct your own research, and manage your own programmes, bringing curiosity and initiative to how you work, not just what you deliver What You'll Bring: Experience: 3+ years in Customer Success or a similar role; familiarity with scaled or digital models across the onboarding and consumption phases AI Fluency: Genuine enthusiasm for and hands-on experience with AI tools, with a track record of using them independently to build dashboards, automate research, or manage programmes Mindset: Curious, driven, and entrepreneurial, comfortable building processes from scratch and developing innovative solutions that deliver measurable results, while working both independently and as a strong partner to others Collaboration Skills: Proven ability to work cross-functionally, particularly with sales teams, and align objectives across diverse stakeholders Adaptability: Comfortable navigating fast-moving shifts in scope, strategy, and goals Tech-Savviness: Familiarity with the tools and technologies that support digital engagement (e.g., automation tools, CRMs, CS software) Analytical Acumen: An ability to analyze data and extract actionable insights for program optimization About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 3273576550
MongoDB and Customer Success Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers' technology strategy, and ensures every customer can realize the full potential of their investment. Customer Success Manager The Role As a Customer Success Manager, you are the trusted advisor helping customers navigate their journey on MongoDB. You'll be responsible for maximizing customer lifetime value and success for a portfolio of accounts, acting as a strategic connector between your customers and the right resources at the right time to achieve their unique business goals. You'll drive customer retention, revenue realization, and advocacy. You'll build deep relationships, understand customer needs inside and out, and seamlessly navigate account team and internal resources to deliver real, measurable impact where your customers need it most. We are looking to speak to candidates who are based in Tokyo for our hybrid working model. Key Responsibilities Customer Advisory Proactively identify risks and ensure deployment health by advising on best practices and operational strategies. Deliver optimal solutions to critical customer challenges, accelerating time-to-value and guiding customers to achieve their business goals through their MongoDB deployments. Conduct comprehensive customer business reviews, analyzing technical health and operational performance while translating insights into value-based outcomes. Partner with technical and business leaders to align on objectives and champion mutual success plans that foster growth and retention. Account & Portfolio Management Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage a portfolio of customers across various stages of the journey, creating and executing strategies to maximize value realization, advocacy, and long-term success. Track and report progress against key business outcomes, forecast revenue retention and realization to senior leadership for business predictability, and identify new opportunities to expand customer impact, collaborating with presales teams to support growth. Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI-driven tools to streamline daily workflows, improve productivity, and optimize customer success outcomes. Internal Collaboration & Customer Advocacy Amplify the voice of the customer within MongoDB, leveraging customer insights to inform MongoDB's product roadmap and coordinate across Sales, Product, Services, Support, and Training teams to drive customer health, satisfaction, and value realization. Connect customers with the right internal resources, including Marketing programs and Executive Sponsor engagement, while contributing learnings from customer interactions to strengthen team success and maximize customer value. What You Will Bring Relevant Experience: 5 to 7+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product Accountability: 3+ years experience being accountable for customer health and revenue realization for a defined book of business for Enterprise/High Tech customers Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes Education: Bachelor's degree in Computer Science, STEM, or equivalent technical work experience About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. MongoDBのミッションとカスタマーサクセスの役割 MongoDBのミッションは、ソフトウェアとデータの力を解き放つことで、革新者が業界を創出、変革、そして常識を覆すことです。私たちは、企業のレガシーワークロードを現代化し、イノベーションを受け入れ、AIの力を最大限に活用できるよう支援することで、あらゆる規模の組織がモダンなアプリケーションを容易に構築、拡張、運用できるようにします。 業界を牽引する当社の開発者向けデータプラットフォーム「MongoDB Atlas」は、業界唯一のグローバル分散型マルチクラウドデータベースであり、AWS、Google Cloud、Microsoft Azureにわたる115以上のリージョンで利用可能です。Atlasによって、お客様はオンプレミスや異なるクラウドプロバイダー間など、あらゆる場所でアプリケーションを構築・運用することができます。当社は世界中にオフィスを構え、毎月175,000人以上の新しい開発者が利用登録を行っており、Samsungやトヨタのような大手企業から、Delivery HeroやLG U+といったAIの革新者に至るまで、多くの企業が次世代のAI駆動型アプリケーションの構築においてMongoDBを信頼しています。 当社のカスタマーサクセスチームは、導入後のお客様との関係構築において要となる存在です。。深いビジネス知識と技術的な知見を融合させることで、カスタマーサクセスはMongoDBをお客様のテクノロジー戦略の中心に位置づける役割を担い、すべてのお客様がその投資の可能性を最大限に引き出せるよう支援しています。 募集職種:カスタマーサクセスマネジメント(The Role) カスタマーサクセスマネジメント(CSM)の役割は、信頼されるアドバイザーとして、お客様がMongoDBを活用する上での道のりを、支援することです。 担当ポートフォリオとなる顧客アカウントの生涯価値の最大化と成功に責任を持ち、お客様固有のビジネス目標を達成するために、最適なタイミングで最適なリソースへとつなぐ戦略的パートナーとして活躍していただきます。また、顧客維持(、収益実現、およびお客様からの支持・推奨の促進 を推進する役割も担います。 お客様と深い信頼関係を築き、そのニーズを徹底的に理解した上で、アカウントチームや社内リソースをスムーズに活用し、、お客様が最も必要とする領域で目に見える確かなインパクトを提供することが求められます。 【勤務形態】 ハイブリッドワーク(東京オフィスに通勤可能な方を対象としています) 主な職務内容(Key Responsibilities) 顧客へのアドバイザリー(Customer Advisory) プロアクティブなリスク特定と運用の最適化: ベストプラクティスや運用戦略を提案することで、プロアクティブにリスクを特定し、システムのデプロイメント・ヘルスを健全に保ちます。お客様の重大な課題に対して最適なソリューションを提供することで、価値創出までの期間(Time-to-Value)を短縮し、MongoDBの導入を通じてビジネス目標を達成できるよう導きます。 ビジネスレビューの実施と成果への変換: 包括的なビジネスレビュー(QBRなど)を実施し、技術的な健全性や運用パフォーマンスを分析した上で、そこから得られたインサイトを「価値ベースの成果」へと落とし込みます。技術リーダーやビジネスリーダーと連携して目標をすり合わせ、成長と顧客維持を促進する「相互成功計画(Mutual Success Plan)」を推進します。 アカウント&ポートフォリオ管理(Account & Portfolio Management) 顧客成熟度とLTVの向上: 顧客の習熟度、顧客生涯価値(LTV)、顧客維持、および収益実現を推進するアカウントプランの。様々なフェーズにいる担当ポートフォリオの顧客をプロアクティブに管理し、価値実現の最大化、継続利用の促進、そして長期的な成功に向けた戦略を策定・実行します。 進捗管理と拡大機会の創出: 重要なビジネス成果指標に対する進捗管理・レポーティングを行い、事業の予測可能性向上に向けて、収益維持および収益実現のフォーキャストを経営層へ報告していただきます。、加えて、顧客へのインパクトを拡大する新たな機会を特定し、プレセールスチームと連携してさらなる成長を支援します。 正確なデータ管理とAIツールの活用: 社内システムにおいて綿密なデータ管理(を維持し、顧客インサイトの正確な一元管理(と正確なテリトリー分析を実現します。AIツールを活用して日々のワークフローを効率化し、生産性を向上させ、カスタマーサクセスの成果を最適化します。 社内連携&顧客の継続利用の促進(Internal Collaboration & Customer Advocacy) 顧客の声を社内へ届ける: MongoDB社内における「顧客の代弁者」として、顧客のインサイトを製品ロードマップに反映させます。また、営業、プロダクト、プロフェッショナルサービス、サポート、トレーニングなどの各チームと連携し、顧客ヘルス、満足度、および価値実現を推進します。 最適なリソースとのマッチング: マーケティングプログラムやエグゼクティブ・スポンサーとのエンゲージメントを含め、お客様を最適な社内リソースと結びつけます。同時に、顧客との対話から得られた学びをチームに共有し、チーム全体の成功を強化するとともに、顧客価値を最大化します。 求められるスキル・経験(What You Will Bring) 実務経験: 高度な技術力を要する製品(従量課金制/コンサンプションベースの製品が望ましい)において、技術系顧客対応職(テクニカルカスタマーサクセス、ソリューションアーキテクト/エンジニアリング、プロフェッショナルサービス/導入支援、テクニカルアカウントマネジメントなど)における5〜7年以上の経験。 アカウンタビリティ(責任): エンタープライズ企業またはハイテク業界の顧客ポートフォリオを持ち、顧客のヘルスおよび収益の現実に責任を持った3年以上の経験。 コミュニケーション能力: 技術的な成果およびビジネスの成果の双方において、周囲に影響を与え、意思決定を促すことができる優れた口頭・書面でのコミュニケーションスキル。 学歴・バックグラウンド: コンピュータサイエンス、STEM(科学・技術・工学・数学)分野の学士号、またはそれと同等の技術的な実務経験。 MongoDBについて(About MongoDB) MongoDBは「変化」に対応するために構築されており、お客様と従業員が市場のスピードに合わせてイノベーションを起こせるよう支援しています。私たちはAI時代に向けてデータベースを再定義し、革新者がソフトウェアを通じて業界を創出、変革、そして常識を覆せるようにしました。市場で最も広く利用されているグローバル分散型データベースであるMongoDBの統合データベースプラットフォームは、組織のレガシーワークロードを現代化し、イノベーションを受け入れ、AIの力を最大限に活用できるよう支援します。当社のクラウドネイティブなプラットフォームである「MongoDB Atlas」は、唯一のグローバル分散型マルチクラウドデータベースであり、AWS、Google Cloud、Microsoft Azureにわたって利用可能です。 世界中にオフィスを構え、Fortune 100の75%を占める大企業からAIネイティブのスタートアップ企業まで、60,000社以上のお客様が最も重要なアプリケーションの運用をMongoDBに託しており、私たちは次のソフトウェア時代を牽引しています。 MongoDBの指針となっているのは、私たちの「リーダーシップ・コミットメント(Leadership Commitment)」です。これは、私たちがどのように、そしてなぜ意思決定を行うのか、どのようにお互いを支え合うのか、そしてどのように勝利を収めるのかを示すガイドラインであり、これこそがMongoDBの核となる価値観です。。 従業員の個人的な成長とビジネスにおける貢献を後押しするため、私たちは誰もが支え合い、豊かになれるカルチャーの醸成に取り組んでいます。従業員のアフィニティグループ(社内コミュニティ)から、不妊治療への支援、手厚い育児休暇制度に至るまで、私たちは従業員の幸福を重視し、キャリアとプライベートのあらゆる歩みをサポートしたいと考えています。MongoDBで働く魅力をぜひ知っていただき、私たちと共に世界にインパクトを与えましょう! MongoDBは応募および面接のプロセスにおいて、障がいをお持ちの方に必要な合理的配慮を提供することに尽力しています。障がいによる配慮をご希望の場合は、担当の採用リクルーターまでお知らせください。 MongoDBは機会均等企業(Equal Opportunity Employer)です。 Requisition ID 3273511231
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. Job Title: Data Center Strategy - Edge Available Locations: San Francisco, Austin, Seattle, or New York About the Role We are seeking a new Data Center Strategy team member to improve the quality and unit cost and grow the size and number of our colocation sites/PoPs, and help us understand where on the map Cloudflare's infrastructure needs to go next. You possess a broad set of contacts across the data center industry and are able to navigate local and international businesses in various markets to drive the best possible deal parameters. You will unlock efficiency within our vendor partner portfolio by understanding how to structure contracts to follow demand, keeping abreast of unique market dynamics and insights that help us negotiate, and managing vendor partner relationships to know where to invest and partner further with existing or new partners. We are looking for someone who excels at progressing many projects in parallel, managing dynamic day to day priorities with many stakeholders, and has experience implementing and refining sourcing best practices in a high growth environment. Getting stuff done is a must! The Data Center Strategy team is part of Cloudflare's global Infrastructure strategy team. The infrastructure strategy team grows and manages Cloudflare's global data center/PoP footprint, enabling Cloudflare's tremendous growth with compute, network, and data center infrastructure, utilizing an extensive range of global partner vendors. What You'll Do: Define regional vendor strategy for data centers Own deals end to end involving new and existing data center vendors and sites to support Cloudflare's infrastructure growth including planning, RFP, commercial negotiation and execution Work cross-functionally with legal, operations, capacity planning, network strategy and security teams to understand requirements and project timelines Establish and conduct scheduled QBR and other vendor management activities with top category partners Represent Cloudflare credibly to external partner C-level senior management and at public conferences/events Expert point of contact for internal business customers & external colocation partner vendors as needed Contribute information to annual data center budget for effective tracking and benchmarking of infrastructure costs Review colocation spend & invoices for management approval Other duties as assigned Must Have Skills: 10+ years in planning and managing data center footprints within a fast moving enterprise technology organization or cloud services, software or colocation company Ability to multi-task and manage complex projects across multiple teams and geographies within set deadlines Ability to navigate, solve problems and answer questions with minimal supervision Relationship management experience and excellent communication skills Demonstrated experience in commercial negotiation Experience with rack, site power and white space planning (data center sales engineering) a plus Experience with or understanding of network concepts a plus Experience in budget planning, financial analysis, or other analytical role a plus Experience with Jira a plus Multilingual and/or experience living/working/conducting business in another country a plus Bachelor's degree or equivalent experience required Nice-to-Have SKills: Sale-leaseback, JV, or PPA / power-procurement work Existing relationships with developers, wholesale operators, brokers, or utilities High-density / liquid-cooling site constraints Network (fiber diversity, latency, MMR) Government incentives or economic-development agreements Another language Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $166,000 - $271,000 For New York based hires: Estimated annual salary of $158,000 - $257,000 For Seattle based hires: Estimated annual Salary of $158,000 - $257,000 Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
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 our next Product Manager on Twilio's Onboarding and Compliance product team. About the job Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance product team to manage Porting, Hosting, and ShortCodes. In this role, you will lead the product strategy, roadmap, and delivery for the core capabilities that allow customers to onboard, migrate, and maintain their numbers globally. You will focus on scaling automated self-service workflows, strengthening fraud and regulatory compliance guardrails, and migrating legacy capabilities onto modern platform architectures. Responsibilities In this role, you'll: Own and execute the product vision, roadmap, and quarterly planning for Hosting, Porting, and ShortCodes product suites. Translate complex operational, regulatory, and technical requirements into PRDs for engineering teams. Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap. Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth. Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4+ years of product management experience delivering scalable SaaS, PaaS, or IaaS products Proven track record of leading successful product launches and driving product strategies Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges Bachelor in Computer Science, Engineering, or equivalent practical experience Desired: Experience building products/services related to APIs, developer experience Experience working in a regulated ecosystem Location This role will be remote and based in the United States, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000 Based in the San Francisco Bay area, California: $151,120 - $188,900. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/26/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
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 . The Infrastructure Marketing team is building awareness and demand for Coinbase's stablecoin payments, trading, agentic finance, and custody products. As Senior Product Marketing Manager, you'll lead integrated marketing initiatives that span content, demand generation, events, and sales enablement. You'll own go-to-market strategy for key product areas and drive programs that generate qualified pipeline in a fast-moving, dynamic environment. What you'll do: Lead cross-functional marketing initiatives across content, demand generation, events, communications, and sales enablement to build awareness and generate qualified leads for Coinbase's infrastructure products. Develop and execute go-to-market strategies for PSPs, money movers, cross-border companies, and banks, focused on reaching, engaging, and activating them through targeted messaging and campaigns. Drive marketing for agentic finance across Coinbase for Agents and agentic payments, including thought leadership content, social campaigns, and product announcements. Partner with tier-one partners on co-marketing programs, from partnership launch planning through ongoing activation and performance measurement. Required Skills and Experience: 7+ years of experience in payments, stablecoins, or fintech marketing, with a track record of building go-to-market strategies that drove measurable pipeline or revenue growth. 3+ years of product marketing experience in a startup or high-growth environment, including ownership of positioning, messaging, and launch execution. Proven ability to write clear, compelling blog posts, partner briefs, and sales collateral that are accurate, tailored to each audience, and polished, with a sharp eye for editing your own work. Experience developing and managing co-marketing programs with external partners, including joint campaign planning and cross-functional coordination. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $170,765 — $200,900 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You'll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel's AI Cloud. You will report to the Director of GTM Engineering and will be remote. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Ship code daily using the Vercel AI Cloud Discover user pain and ship high-impact solutions Collaborate with top performers in GTM departments and ship their best practices to the org with systems Test new features and give feedback to engineering Publish best practices and guides on using Vercel's AI Cloud About You: Have shipped a Next.js app to production with users Have 4+ years of full-stack development experience Familiar with the Vercel ecosystem Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus If You: Have built an AI agent Have automated repetitive tasks with AI Have built features with the AI SDK Have published blogs/videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000 - $295,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
We are seeking a motivated and experienced Technical Program Manager to join Datadog's Technical Solutions organization. This organization is made up of 1,200+ customer-facing technical experts around the world — including Sales Engineers, Technical Account Managers, Support Engineers, and Solution Architects — who work with prospects and customers throughout their journey with Datadog to deliver outstanding experiences and drive growth through product adoption. As a Technical Program Manager, you will lead and support a variety of technical programs that help these customer-facing teams work more effectively. Depending on the needs of the organization, this could include programs related to internal tooling, process improvement, knowledge and content systems, or other cross-functional initiatives. You'll partner closely with team leads, subject matter experts, and other stakeholders to bring structure and clarity to moderately complex, cross-team programs, and you'll act as a multiplier for the teams you support by driving programs from planning through delivery. Candidates who have previously led projects for customer-facing technical teams are especially encouraged to apply. 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 Drive delivery of cross-team programs that support one or more Technical Solutions teams — coordinating stakeholders, dependencies, and timelines to keep work on track from kickoff through delivery. Partner with team leads, subject matter experts, and cross-functional stakeholders to translate program goals into clear, actionable plans, and document scope, timeline, and quality expectations along the way. Establish and maintain program management fundamentals — project trackers, status updates, risk logs — so stakeholders always have visibility into progress and blockers. Identify unclear or incomplete requirements early and bring structure to ambiguous problems, escalating only when needed to keep execution on track. Use data to track progress against milestones, surface risks, and guide decisions; adjust plans as circumstances change. Apply AI tools to streamline your own program management workflows — synthesizing updates, surfacing patterns in program data, or accelerating documentation — and help identify where AI can improve processes for the teams you support. Communicate program status, risks, and impact clearly to stakeholders at different levels, adapting your message for technical and non-technical audiences. Look for opportunities to improve how programs and processes run, and contribute ideas that make execution more efficient over time. Who You Are Program Management Experience: 3-5 years of experience leading technical programs in a SaaS or technical environment, ideally including cross-team or cross-functional initiatives. Experience supporting customer-facing or technical support functions is a plus. Execution-Oriented: Comfortable driving moderately complex, cross-team initiatives independently, with the judgment to seek guidance on larger or more ambiguous efforts. Solid foundation in project scoping, timeline management, and risk management; PMP, Agile training, or equivalent certification preferred. Data-Informed: Tracks progress against established metrics and uses data to guide decisions, report status, and identify risks early. Clear Communicator: Able to convey project status and ideas concisely to a range of audiences, from peers to senior stakeholders, adapting the level of detail as needed. Collaborative: Builds trust through consistent delivery; works constructively across teams to resolve differing viewpoints and unblock progress. Comfortable with Ambiguity: Able to identify unclear requirements, ask the right questions, and bring structure to partially-defined problems. AI Fluency: Uses AI tools confidently in day-to-day program work and can evaluate where AI can be responsibly and effectively applied to improve program processes. Growth-Oriented: Developing skill in giving constructive, empathetic feedback; may support the onboarding or mentorship of newer team members. Technical Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Best in breed onboarding Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $116,000 — $145,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
