Account Executive Strategic Jobs

About the Job: LaunchDarkly is looking for an Enterprise Developer Advocate to build a new motion from the ground up: education-first technical sessions inside our largest accounts. Most enterprise customers know LaunchDarkly for one thing. Inside those same companies are teams shipping AI features, running experiments, and managing risky releases who have never met us. You'll design and run sessions that teach those engineers something genuinely useful, build internal champions alongside our account teams, and surface expansion opportunities the field can act on. This starts as a pilot, and how it scales will be shaped by what you prove. It's a role for someone who wants to own a motion, not a queue. Responsibilities: Build the motion: design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement Run sessions inside target accounts: deliver education-first technical sessions (agents and AgentControl, safe rollouts, experimentation, runtime control) tailored to each account's stack and use cases Build champions with the field: partner with AEs, SEs, and CS to identify accounts, find and develop internal champions, and hand off what surfaces cleanly to the teams who should own it Keep it credible: protect the non-promotional, education-first nature of the sessions; this motion works because it isn't a sales pitch Prove it with evidence: instrument the pilot, produce session readouts, debrief with reps, and make the scale, adjust, or stop recommendation based on what the data shows Shape what comes next: as the motion proves out, define how it scales, including the playbook future advocates would run Qualifications: A background spanning at least two of: developer advocacy, solutions engineering, developer education, technical marketing Comfortable in enterprise rooms: you can teach a technical session to fifty engineers and handle hardball questions from a skeptical

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. 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 Melbourne 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 drive customer maturity, lifetime value, retentio

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Identity team builds the foundational systems that enable people, organizations, devices, and agents to securely access OpenAI products. The team works across consumer and enterprise experiences, including account structures, sign-in, authentication, recovery, privacy, permissions, administration, and agent identity. As AI systems become increasingly capable of acting on behalf of people and organizations, we are defining new models for authorization and trust across human-to-agent and agent-to-agent interactions. About the Role In this role, you’ll lead design for foundational identity experiences across OpenAI’s products. You’ll make permissions, access, risk, and administration feel clear, safe, and genuinely usable—whether someone is securing a personal account, administering access across an enterprise, signing in to another product with ChatGPT, or authorizing an agent to perform sensitive work. Your work will span established identity challenges and emerging interaction models without established design conventions. You’ll help define how users understand what an agent can access, who or what it is acting on behalf of, and when confirmation or stronger authentication should appear. Working closely with product, engineering, security, privacy, and design, you’ll translate complex policies and technical systems into coherent, trustworthy experiences. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: Lead the design direction for identity, account security, permissions, and administrative experiences across OpenAI’s consumer and enterprise products. Design and ship high-quality experiences spanning sign-in, authentication, account recovery, device accounts, privacy, access controls, governance, and remediation. Define mental models and interaction patterns for human-to-agent and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About the DSML Team The Data Science and Machine Learning (DSML) team owns the full lifecycle of Prodigal's ML systems, from data curation to model selection, fine-tuning, and post-training, through to deployment, evaluation, and ongoing monitoring. We sit close to real product and customer problems, and we're expected to move from experiment

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers. To strengthen our efforts, we are hiring a Software Engineer who will work on improving our routing engine, on building cloud-based services that can process millions of route requests per day and on creating workflows to process and analyze the data collected from our rides. For this we are looking for someone who has a strong background in software architecture and algorithms and understands at the same time how to build efficient data processing pipelines. Our technology stack is based on the latest technologies such as AWS, Kubernetes, Apache Airflow, Flink, and Kafka. We use AI and machine learning to improve development productivity, optimize customer support workflows, and enhance operational efficiency — all without compromising code quality or security. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best routing experience possible Build and deploy mission critical algorithms and services that can serve millions of requests per day (backend and data-streaming services written in C++, Go, and Python) Analyze rides, understand customer pain points, prioritize and size feature requests and help design solutions based on o

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role OpenAI is building a dedicated Digital Natives vertical focused on high-growth technology and internet companies shaping the future of software. As a Sales Manager, you will recruit, develop, and lead a team of senior Account Directors responsible for landing and expanding OpenAI’s largest and most strategic Digital Native customers. You will define how we win in this segment — establishing the operating cadence, deal strategy, and vertical GTM playbook for engaging sophisticated, technically fluent buyers building AI into their core products. You will operate as a hands-on front-line leader: deeply involved in complex opportunities, elevating sales discipline, and shaping how OpenAI scales enterprise revenue in the most dynamic segment of the market. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities Recruit and develop a high-performing team of Account Directors. Establish a coaching culture centered on rigorous deal reviews, structured 1:1s, and clear performance standards. Raise the talent bar continuously through thoughtful hiring, development, and accountability. Architect and refine the GTM strategy for high-growth tech and internet companies. Shape territory design, account prioritization, and coverage mo

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Business Development Manager for the Cloud Memory Business Unit (CMBU), you will help to drive the worldwide inbound and outbound marketing and business development activities for a key customer in the cloud computing / hyperscale space. You will define long-term strategy for the key account, influence internal and external product roadmaps, and champion customer-centric innovation to capture market share in this high-growth segment. In this position, you will analyze segment and marketing data, align existing products as well as document requirements for next generation products, and work with the cross-functional teams to develop and implement the strategy to enable Micron to continue to gain market share in this high growth and rapidly moving segment! The cloud product portfolio encompasses a comprehensive range of DDR, LPDDR and HBM based memory solutions supporting the requirements of our end market focus. Based on increasing growth opportunities across Cloud and AI, the structural definition, development, and delivery of a market leading Cloud strategy is a key imperative for CMBU and Micron! Responsibilities: Define and lead the account strategy to drive long‑term growth and profitability Strengthen our position as a trusted advisor across DDR, LPDDR, and HBM technologies Shape and deliver customer business and technical review strategies Advocate customer requirements within Micron product planning and roadmap processes

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Develop and manage scalable billing and collection processes for complex user agreements and new business operations. Build scalable and auditable onboarding processes for new and existing users. Onboard sold custom contracts into our billing systems. Work with legal contracts using strong attention to detail. Partner with internal systems, global deal management, legal, sales ops, internal audit, go-to-market, engineering and accounting teams to develop and improve processes for contract reviews and to anticipate changing business requirements. Partner with account managers to solve user inquiries related to onboarding implementation, billing, and collections. Advocate for the customer to internal stakeholders. Share system feedback and insights to Sales, Product Management, Engineering, Support and Legal on innovation and improvement needed to optimize the Stripe user experience. Help scope, build, and deliver continuous process improvements that enhance operations. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Finance, Business, Information Management, or a related field, plus 4 years of Client-facing experience in customer success, consulting, financial services, account management, or technical product sales. Must also have 3 years experience in each of the following: Tracing process impacts from situation to end customers &amp

Location : Ghent, Belgium/ Bucharest, Romania, hybrid model 2 days on-site About the position We're looking for a Principal Cloud Engineer to join our platform enablement team and help shape the infrastructure foundation that our engineering organisation builds on. This role is suited for someone who has worked in a modern, mature SaaS engineering culture — where autonomous product teams own their own AWS accounts, infrastructure, and CI/CD pipelines, and the platform team's job is to enable them to do that well. You will provide architectural guidance, guardrails, and best practices that help teams move fast without breaking things. This is not a central DevOps role — we don't operate infrastructure on behalf of other teams. We build the rails they run on. If you've spent your career in an enablement or platform engineering function at a SaaS company with autonomous teams and a multi-account AWS environment , this role was written for you. Key Responsibilities Design, implement, and evolve core AWS infrastructure to support the accelerated expansion of our platform capabilities across a multi-account, multi-environment organisation. Own and advance our AWS CDK (TypeScript) standards — you are the expert other teams come to for guidance, code reviews, and architectural decisions on IaC. Provide architectural guidance, guardrails, and reusable patterns that enable autonomous product teams to build and operate their own cloud infrastructure safely and efficiently. Diagnose, troubleshoot, and resolve complex infrastructure and platform issues, including reverse-engineering problems when documentation or context is limited. Help maintain reliable operational support, including participation in on-call and escalation rotations . Partner closely with engineering teams to share context, unblock work, and raise the infrastructure quality bar across the organisation. Support knowledge transfer and continuity in a complex, fast-moving operational environmen

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 The Corporate Technology (CorpTech) Services team is a strategic support partner to all Stripes, in office and remote. We ensure the successful operation of new hires, account off-boards and critical business systems with a global team. We’re looking for a Tier 1 Support Engineer to join the MXC CorpTech Services team to provide in-person, thoughtful and individualized support for all Stripes. Stripe is looking for individuals who can work in a fast paced environment and work autonomously to deliver team oriented results. What you’ll do You’ll be responsible for providing technical assistance and support related to computer systems, hardware, and software. Respond to queries, run diagnostic programs, isolate problems, and determine and implement solutions. In-person support is required as well as setting up desks and managing/auditing peripherals. Responsibilities Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. Respond to queries either in person, email, Slack or ticketing system. Provide in-person IT HelpDesk assistance to Stripe employees, contingent workers, and vendors. Walk customers through problem-solving processes and follow up to ensure issues have been resolved. Run diagnostic programs to resolve problems as well as troubleshoot IT scripts, systems, or automation Support and maintain critical SaaS tools (Google Wor

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 We are looking for someone passionate about fighting fraud, is naturally curious, and has a strong desire to network with peers and partners within the fraud space. You will be responsible for conducting account investigations, making account-level judgements, and providing support for special handling risk cases. You will be confident in looking through data, assessing various indicators, and making judgements on your findings. The right candidate for this role will ideally have some experience in fraud, preferably within ecommerce or payments, and possess a basic understanding of fraud prevention and controls. What you’ll do Responsibilities Investigate accounts to identify fraudulent merchants, card testing, account takeover, and other fraud vectors Conduct investigations on merchant accounts to support financial partner requirements Assess risk factors and trends of potentially fraudulent activity Help maintain fraud detection strategies and business rules that balance fraud loss and customer experience Contribute to root cause analysis to identify opportunities to predict, prevent, and mitigate risk within process and performance Participate in monthly, quarterly, and annual business reviews for the Fraud Operations team Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus,

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil