Account Consultant At Retail Insights Jobs

As an Enterprise Customer Success Manager, you will proactively drive new product attachment and effective strong relationships across our largest and most strategic customers. You’ll advocate for the customer internally and focus on a positive customer experience. Interactions are rooted in relationship-management, first and foremost, while also advocating for growth opportunities. Enterprise Customer Success Managers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. 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: Partner with Enterprise Account Executive and Solution Engineering teams to onboard, train, and proactively drive adoption with our Enterprise customers Proactively build relationships with customers to achieve loyalty and advocacy within their organization Collaborate cross-functionally with internal Datadog teams (sales, support, enablement, product, finance, and legal) Own and project manage the on-boarding process for new customers Become a trusted advisor to the client and partner in building a clear and concise plan to meet their business goals Monitor and analyze usage trends to uncover renewal risks and identify opportunity for contract growth/optimization With demonstrated understanding of observability and security platforms, align customers technical and business objectives to our platform offerings Who You Are: Customer-centric with 3+ years in a Customer Success or Account Management role Able to manage a wide portfolio of accounts rolling up to large enterprise corporate accounts Knowledgeable in working with Fortune 1000 companies and global brands across all industries A strong communicator with exceptional attention to detail

MongoDB is launching an EMEA AI Natives team to win high-potential, fast-growing AI-native companies and accelerate new-logo acquisition. We are seeking a Regional Director, AI Native to build and lead an initial team of five Acquisition reps covering a number of regions across EMEA. Reporting to EMEA Sales Leadership, you will own the team’s strategy, hiring, development, execution, and results. You will drive new-logo acquisition and NARR while establishing a repeatable sales motion for the AI-native segment. We are looking to speak to candidates who are based in London for our hybrid working model. What you will do Recruit, onboard, coach, and develop a high-performing AI Native acquisition team Define territory plans, account priorities, pipeline goals, and operating rhythms across EMEA Build a data-driven go-to-market strategy for high-potential, well-funded AI-native companie. Engage founders, investors, C-suite leaders, engineering executives, and technical decision-makers Coach the team through complex, multi-stakeholder sales cycles and negotiations Lead strategic opportunities and help the team win net-new logos Own performance against new-logo, NARR, pipeline, and forecast objectives Drive adoption of MongoDB’s sales methodology, including MEDDIC Partner with Marketing, Product, Solution Architecture, Customer Success, Partners, and Sales Operations Provide market feedback to shape MongoDB’s AI Native strategy and scale the pilot What you bring 2 years of experience managing a quota-carrying sales team or 3+ years of experience as a quota-carrying enterprise sales representative A strong record of overachievement and winning net-new logos Experience building a new market, segment, territory, or sales motion Success selling complex technology to executive and technical stakeholders Understanding of cloud, databases, software development, and emerging AI technologies Ability to translate technical concepts into clear business value Strong coaching, fo

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 . Coinbase Tokenized Equities give eligible non-US users a simple way to buy tokens backed 1:1 by US stocks and ETFs — no brokerage account needed. The tokens are issued out of Abu Dhabi Global Market (ADGM), a regulated financial center overseen by the FSRA, and trade 24/7 onchain. We're hiring an Accounting Manager to be the finance lead for this product. This is a senior individual contributor role for someone who likes to build. You'll own the accounting and reporting model from the ground up — accounting policy, regulatory and legal entity reporting, controls, GL operations, and finance systems — coordinating across Tax, Treasury, FP&A, and controllership, as well as external auditors and regulators. If you like solving hard problems and building from scratch, this role is for you. What You'll Do Build the accounting model from the ground up — covering token issuance and redemption, asset tracking, intercompany flows, and the close process Own regulatory compliance and reporting to the FSRA for this business. This includes liaising with the regulator to ensure a consistent understand of the rules, building a robust, efficient and well controlled reporting process and remaining responsive ad hoc queries Partner with Product, Engineering, Legal, Tax, Compliance, Treasury, FP&A, and Finance Data so new flows are accurate, controlled, and scalable Sign of

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within Education, we partner with universities, schools, research institutions, and countrywide education systems to advance responsible, mission-aligned uses of AI. These environments require more than technical deployment: success depends on institutional trust, thoughtful governance, stakeholder education, change management, and a value narrative that resonates with academic leaders, researchers, IT teams, faculty, administrators, and students. About the Role As an Applied AI Architect for Education, you will be the senior technical owner for a named portfolio of education customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business,” shaping each institution’s AI strategy and guiding its journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable institutional impact. You will own the technical account plan across ChatGPT Edu, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate institutional priorities into a focused portfolio of use cases, an actionable adoption roadmap, and a clear path to durable value and growth. The Account Director owns the commercial strategy; you own the technical strategy, customer journey, and path to production value. You will work across academic, research, administrative, and operational contexts—helping cus

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role Supabase is scaling its AWS partnership across multiple go-to-market motions, and gaming is one of the fastest-moving. This role owns the AWS gaming segment end to end, driving adoption of Supabase within game studios building on AWS, and managing the technical and commercial relationship with AWS's gaming ecosystem (GameLift, gaming ISVs, and gaming-focused SI/SA teams). You'll work closely with our SI partner ecosystem (including gaming-focused system integrators) on feature enhancements, run co-sell motions with AWS gaming account teams, and build the pipeline that proves out gaming as a durable growth motion for the AWS relationship. What you'll do Own the AWS gaming segment strategy and roadmap Manage relationships with AWS's gaming team (GameLift, gaming ISV/partner org) and gaming-focused AWS SAs Drive the SI partnership motion with gaming systems integrators -- including scoping technical gap analyses (SDK coverage across Unity, Unreal, Godot), negotiating MNDAs/agreements, and managing joint GTM plans Build and run co-sell pipeline with AWS gaming account teams through ACE Identify and close gaps in Supabase's gaming-specific product story (SDK support, real-time/multiplayer patterns, missing feature parity vs. incumbents) Represent the gaming motion in AWS SCA/funding conversations, providing data and narrative to support investment asks Partner with product marketing on gaming-specific content, case studies, and launch narratives Who you are 3-5+ years in partnerships, alliances, or business development, ideally with AWS or another hyperscaler Experience working with or in the gaming industry (studios, publishers, or gaming-focused ISVs/SIs) a strong plus Track record

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role This role owns the enterprise and AI segment of Supabase's AWS partnership -- driving adoption among larger, more complex enterprise accounts and AI-native companies building production workloads on Supabase. You'll anchor the enterprise motion around reference customers, build the case for enterprise innovation funding with AWS, and own the relationship with AWS enterprise account teams and Solutions Architects. This is a strategic, quota-adjacent role: you'll be responsible for building enterprise pipeline through AWS co-sell, deepening AWS's confidence in Supabase as an enterprise-ready platform, and supporting Competency and reference programs that unlock further AWS investment. What you'll do Own the AWS enterprise strategy Manage relationships with AWS enterprise account teams, Solutions Architects, and relevant service-line teams (e.g., Database Services) Drive co-sell pipeline for enterprise and AI-native accounts through ACE, working closely with AWS field teams Support AWS Competency designations and reference program management -- coordinating customer references, evidence collection, and renewal timelines Build and maintain enterprise reference narratives (anchor customer stories) used in AWS-facing business cases and exec conversations Represent the enterprise motion and funding discussions, providing pipeline data and account-level detail to support investment asks to AWS Partner with sales leadership to identify strategic enterprise accounts where AWS co-sell can accelerate deals Work with product and product marketing to keep the enterprise/AI product narrative current for AWS SAs and account teams Who you are 4-6+ years in partnerships, alliances, or enterprise b

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. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important healthcare customers. This is a named-account role: your entire focus will be a single global healthcare organisation, whether a payer, provider, life sciences company, or health technology platform. You will own the full technical relationship, drive use case expansion across the organisation's clinical, operational, and research functions, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL : Own the end-to-end technical relationship for a single strategic Global Account in healthcare, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the account's clinical, operational, and research data priorities Design and lead proof of concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data pr

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Key Responsibilities: Collection Strategy & Analytics - Develop strategies for all collections related activities and ensure that the processes are followed as planned Analyzing the data and Implementing different collection strategies with Data Science Regular improvement in processes & collection strategies. A/B testing, data analysis and iterations. Develop and implement advanced analytics approaches including statistical modelling Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line. Break down the Loss forecasts into collections roll rates and recovery rates Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets. Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets Analyzing data: Performing quantitative and qualitative analysis on accounts. Developing strategies: Developing collection strategies based on insights from stakeholders. Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies. Improving processes: Automating processes, data, and models to improve productivity. Forecasting losses: Increasing the accuracy of loss-forecasting strategies. Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation. Meeting regulatory requirements: Applying individualized c

B2B go-to-market software has historically been where design ambition goes to die. The tools are powerful but joyless. Dense, generic, admin-heavy, and built for process more than delight. Meanwhile, the best product companies have raised everyone’s expectations for what business software can feel like: fast, opinionated, elegant, and genuinely useful. AI gives us a chance to rebuild the category from first principles. Mutiny is building the agentic GTM platform that helps revenue teams create the work they need to win. Sellers and marketers should not have to wait on five internal teams to move a deal forward. They should have a bench of AI teammates that understands the account, knows what good looks like, and gets sharper every week. We’re looking for a founding staff designer to define what that feels like. This is not a role where you plug into a mature design system, clean product rituals, or a settled category. You’ll help invent the product language for AI-native GTM software: the interaction model, the creative standards, the feedback loops, the system, and the taste bar for what the agent produces. The design problem Our job is to make AI output that a great seller, marketer, or designer would actually be proud to put in front of a million-dollar account. That requires more than a chat box. It requires data, memory, taste, brand intelligence, workflow design, and a UI simple enough for every rep to use daily but powerful enough to support an entire revenue motion. Some of the questions you’ll help answer How should a seller direct an agent without becoming the agent’s project manager? How do we make generated work feel on-brand without making it dull? What does editing look like when the object is not a static page, but an intelligent system that can regenerate, revise, explain, and learn? How do we give users confidence and control without burying them in settings? How do we turn taste into a system the product can improve over time? What you’ll work on P

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

The New Business Sales Executive is responsible for cultivating and increasing new business revenue, maximizing share of wallet and client penetration by identifying key influencers and decision makers. This role has unique, specialized Financial Services industry knowledge and expertise in identifying potential revenue opportunities through networking and aggressive field sales techniques. The New Business Sales Executive plays a pivotal role in client negotiations, pricing agreements and relationship development. They work collaboratively with peers internally to ensure consistency in account planning activities, customer service standards and achievement of revenue goals. Client interaction is at the highest decision-making level to position Getty Images as the ultimate value provider of content across all products and services. The Sales team works to grow our customer base across all regions by understanding how visual content plays a part for our customers' businesses—and how our products and services can help them overcome challenges, elevate their message, and achieve their goals. As a key contributor to our Financial Services segment, you will play a vital role in driving new business revenue, expanding our market share, and establishing strong relationships with key decision makers within the industry. Your Next Challenge: Build a target list of leads and aggressively identify viable opportunities to grow revenue/sales. Analyze and use industry and business segment knowledge and apply it to deep discovery, identifying customer needs to influence and drive business outcomes. Aggressively sell to these leads, building lasting professional relationships with new contacts up to C-suite level by proposing solutions which meet their needs. Demonstrate consistent sales activity daily habits contributing to progressing leads through sa

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. Senior Customer Success Manager 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. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. 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

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team As a Sales Development Representative (SDR) at Stripe, you will drive Stripe’s future growth engine by working with Demand Gen and the Account Executive team to qualify leads and collaboratively build Stripe’s sales pipeline. You get excited about engaging with prospects to better qualify needs. You are adept at identifying high value opportunities and capable of managing early sales funnel activities.You are used to delivering value in complex situations and are energized by learning about new and existing products. Finally, you enjoy building – you like to actively participate in the development of the demand generation and sales process, the articulation of Stripe’s value proposition, and the creation of key tools and assets. If you’re hungry, smart, persistent, and a great teammate, we want to hear from you! We take a data driven, analytical approach to sales development, and are looking for someone who is confident in both prospecting to customers and in helping design our strategy. If you’re hungry, smart, persistent, and a great teammate, we want to hear from you! What you’ll do Responsibilities Identify high-potential businesses, verticals and markets, and develop and execute outbound strategies to bring them to Stripe Follow up with Marketing generated leads to qualify as sales opportunities. Move solid leads through the funnel connecting them to a salesperson, and arranging meetings Develop and lead campaigns from idea-generation t