Emerging Enterprise Account Executive Jobs

A bout the Team Our sales and success teams are the heart and soul of DoorDash, helping us partner with top merchants (think restaurants, grocers, convenience stores, retailers) across the country to grow their revenue and help them operate even better. As DoorDash grows both in scale and scope of offering, the strength of our sales engine and organizational structure must grow with it. We are looking for a Manager level in Sales Strategy and Operations to 1. Develop strategic plans in retaining and growing partnerships at scale, 2. Leverage data tools (e.g. SQL) to help enhance sales productivity in targeting and closing the most valuable partnerships. You'll work among our sales, partner management, operations, product, and analytics teams to build the merchant foundation About the Role Within this job posting, we’re hiring for roles on the following team(s): Long-Tail: We are looking for a Sales Strategy Manager to build and execute the Long-Tail Emerging Bets strategy for our Global Sales Vendor organization. You will work closely with internal stakeholders (Sales, Sales S&O, Finance, and more!) to retain and grow Merchants at scale. You will report into the Manager of Revenue Strategy and Operations in our Merchant organization. You’re excited about this role because you’ll… Contribute to post-sales strategy for our top company priorities. This team sits at the nexus of both scaled initiatives and innovative bets at DoorDash focused on catapulting our restaurant partners’ growth. This role will help to develop a strategic vision for SMB Emerging Bets sales strategy, aligning it with DoorDash's overarching business goals. Drive operational excellence in reporting cadences, rigorous pipeline tracking, and sales productivity – leading end-to-end ideation to execution through data-driven insights. Partner with our cross-functional teams to expand and elevate our offering. To retain, optimize, and grow SMBs, this role

About the Team The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure—owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. About the Role As a Performance & Systems Engineer on the Codex team, you will be responsible for whole-system optimization across a complex, evolving stack. Codex spans LLM inference, cloud orchestration, agentic work management, and multiple product surfaces. Your job will be to identify and land high-leverage changes—across infrastructure, modeling, and product layers—that make Codex agents significantly faster and cheaper to serve. We’re looking for generalists who thrive in ambiguity and love chasing performance bottlenecks to ground. This is a high-ownership role where your work will directly improve the experience of millions of users. 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. In this role, you will: Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond. Build tooling to measure, profile, and optimize system performance at scale. Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost. You might thrive in this role if you: Have experience operating across both ML systems and cloud infrastructure. Enjoy diving into messy, ambiguous problems and emerging with clear wins. Think holistically about performance, balancing spee

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a social media editor with experience in journalism, social media strategy, off-platform video promotion and collaborating on projects that involve crowdsourcing, social media reporting and research. You will establish a vision for shaping and targeting our journalism for different platforms, and you will be responsible for understanding and developing new strategies, tools and workflows as those platforms evolve. This means you’ll be building our presence on Facebook, Instagram, TikTok, WhatsApp and emerging platforms. Engaging our readers, monitoring on-site and off-platform conversations for story ideas and integrating readers’ contributions into our report is essential. You will know how to adjust social programming targets and priorities amid a shifting global, 24-hour news cycle and ever-changing platform landscape.You will also work with reporters and editors across the newsroom in how social media and readers’ voices can inform our journalism, both pre- and post-publication. This is an in-office position based in Seoul, and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. The role will report directly to the Senior Audience Manager based in Los Angeles. Main responsibilities: Leading The Times’s social presence across our main accounts, ensuring coverage of breaking news and live events; conceiving and

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. Leverage internal telemetry, OSINT, vendor data, a

The Team + The Role Pendo’s product marketing team sits at the intersection of product strategy, go-to-market execution, and customer growth. As software development moves faster, the team is expanding how Pendo communicates the value of its platform to modern engineering, product, and technical builder audiences. This work matters because it shapes how new products enter the market, how customers understand the platform, and how commercial teams create traction. As Lead Product Marketing Manager, you will own go-to-market strategy across high-impact product launches, cross-portfolio expansion, and new initiatives. You will drive narrative, positioning, launch strategy, sales readiness, and commercial traction while building credibility with technical audiences. This is a hands-on GTM leadership role for someone who moves quickly, creates alignment, and turns emerging product opportunities into clear market motions. This is a remote role based in the United States. We have offices in San Francisco, CA, Raleigh, NC, or New York, NY. What this looks like day-to-day Narrative and positioning: Own messaging frameworks, positioning, and category narratives across primary product initiatives. Write clear positioning documentation and talk tracks that keep product, sales, marketing, and leadership aligned as the market evolves. End-to-end GTM ownership: Build and run the full go-to-market plan across audience targeting, channel strategy, campaign strategy, sales readiness, launch moments, product adoption, and success metrics. Own GTM outcomes and business impact directly rather than handing strategy off to parallel teams. Top-of-funnel and conversion: Partner with revenue marketing to define the acquisition channel mix, run campaigns, and drive early-access signups. Connect demand activity to free-to-paid conversion and early commercial signals. Community building: Establish a credible, authentic presence where technical users spend time. Earn trust with builder audiences

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is understood, trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale. We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify. Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance. You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content across Spotify. What Yo

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is understood, trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale. We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify. Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance. You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content across Spotify. What Yo

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design, implement, and scale end-to-end data products that support growing data processing and analytical needs Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting Leverage AI to build self-serve tools and accelerate Data/GTM workflows Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals Implement systems that guarantee data quality, governance, and availability About you 5+ years of experience in Data Engineering or Software Engineering Experience in data modeling and building scalable data pipelines involving complex transformations Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows Motivated to work closely with cross-functional partners to evolve our analytical data model Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're com

Job Description: Fintech Learning Consultant Company: Paytm Location: India (Open to Pan-India Travel) Experience Required: 5 to 15+ Years Employment Type: Full-Time / Contractual / Part-time About Paytm Paytm is India's leading digital ecosystem for consumers and merchants. We are redefining how people access financial services and how businesses grow through technology. As we expand our fintech footprint, we are investing in cutting-edge education, training, and innovation to upskill the future workforce. Role Overview We are seeking a seasoned Learning Consultant - Fintech to join our team in a full-time capacity. This role is ideal for a fintech domain expert who combines deep subject matter expertise with strong communication and content design skills. The individual will play a pivotal role in bridging industry practice with structured learning, working at the intersection of fintech innovation, academic collaboration, and capability development. Key Responsibilities Training & Enablement: Design and deliver high-impact training sessions for external partners and student cohorts at universities and colleges, enabling a strong understanding of fintech platforms, products, and emerging technologies. Research & Trend Analysis: Continuously track global fintech trends, regulatory developments, and technological advancements; translate these insights into relevant, future-focused learning interventions. Product & Business Support: Collaborate with product and business teams by providing domain expertise across the fintech lifecycle—including ideation, design validation, testing, and go-to-market readiness. Content Development: Develop structured, outcome-driven learning content including curriculum frameworks, case studies, playbooks, and technical guides tailored to diverse learner segments. Required Skills & Tools Must-Have: Strong verbal and written communication with the ability to translate complex concepts into understandable learning modules. Good to Ha

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Become a Senior SRE for Bloomreach! Join the Fuse team — the team responsible for the item data management capabilities that connect Bloomreach Data Hub with Marketing, Search, Recommendations, and emerging Loomi agent use cases. Fuse owns and evolves the systems behind Data Hub item collections : ingesting items data, transforming and validating it, managing data schemas and lifecycle, and distributing data reliably to downstream Bloomreach products. Item collections provide a unified source of data that can be used across all Bloomreach products. Our current areas of focus include: Unified items data pipelines : processing records into structured items and keeping data synchronized with Marketing and Search destinations. Catalog APIs and lifecycle management : customer-facing and intern

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Become a Senior SRE for Bloomreach! Join the Fuse team — the team responsible for the item data management capabilities that connect Bloomreach Data Hub with Marketing, Search, Recommendations, and emerging Loomi agent use cases. Fuse owns and evolves the systems behind Data Hub item collections : ingesting items data, transforming and validating it, managing data schemas and lifecycle, and distributing data reliably to downstream Bloomreach products. Item collections provide a unified source of data that can be used across all Bloomreach products. Our current areas of focus include: Unified items data pipelines : processing records into structured items and keeping data synchronized with Marketing and Search destinations. Catalog APIs and lifecycle management : customer-facing and intern

About the Team At Trendyol Finance, we drive financial clarity, sustainability, and smart decision-making at every level of the business. As a strategic partner to commercial teams, we bridge data with action—ensuring efficiency, compliance, and long-term value creation. From budgeting to forecasting, we turn numbers into insights that shape Trendyol’s growth journey in a fast-moving ecosystem. About the Role In this role, you will be responsible for driving payment growth, strategy, and marketing initiatives across Trendyol’s international and domestic markets. You will work closely with banks, card schemes, payment partners, and internal stakeholders to develop commercial opportunities, optimize payment performance, and execute strategic campaigns that support customer growth and business objectives. The role combines strategy, analytics, and partnership management, requiring strong commercial acumen, stakeholder management skills, and a data-driven approach to identifying growth and optimization opportunities. Your Main Responsibilities Monitor and analyze all payment-related funnels, identifying user drop-off points to develop recommendations for improving conversion rates. Track key performance indicators (KPIs) across issuers and regions, identifying emerging trends and risks early to drive resolution processes with relevant teams. Utilize PSP portals and analytics tools actively, conducting detailed funnel and cost analyses to resolve systemic inconsistencies. Support the tracking of payment cost targets and monthly forecasts, ensuring Business Development teams and relevant stakeholders are promptly updated on budget deviations. Monitor daily payment expenditures, contributing to the automation of cost-tracking mechanisms and identifying cost-saving initiatives without compromising customer experience. Contribute to the annual payment marketing plan, ensuring promotional campaigns are executed effect

About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. This role focuses specifically on AI Safety: understanding and mitigating risks created or amplified by increasingly capable AI systems. It is not a cybersecurity, information security, or corporate security role. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs AI safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed responsibly across critical sectors. About the role We are looking for a Frontier AI Risks Lead to help us understand potential harms and misuse of AI in a time of rapid, sustained change. We seek to understand how developments in AI could intersect with misuse and abuse, accelerating existing harm areas and creating novel risks. We seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. This is an AI safety role focused on frontier and systemic risks, including model misalignment, recursive self-improvement (RSI), multi-agent interaction, loss of control, runaway agents, and related emerging failure modes. In this role, you will help provide a strategic-level perspective on a range of frontier AI safety areas, producing actionable understanding of issues relevant to OpenAI’s platforms, systems, and broader mission. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem sc

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. 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. Senior Verification Engineer with 4-8 years of Experience Unique Opportunities Complete ownership of verification and end to end analysis of sophisticated full chip gate level custom designs with advanced low power and power management technologies spread across multiple categories such as DDR5, LPDDR5,DDR6 and LPDDR6 that can operate at high speeds of up to 9600MT/s. Collaborate closely with design and verification team members spread across the globe, many of whom have decades of experience in memory design. Work on multi-functional tasks that can widen your skills. Responsibilities: Guide and set the direction for the verification effort within your areas of expertise in any project that the team undertakes. Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features. Participate in developing verification methodology and verification environments for sophisticated products. Co-work with international colleagues on

About the team OpenAI’s Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes. The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the role We’re looking for a product-minded Full Stack Engineer to help build OpenAI’s education products from the ground up. You’ll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration. This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter. You’ll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders. In this role, you will: Build and ship product experiences across the full stack for OpenAI’s education offerings Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences Help define the engineering foundation for a growing education pod, including patterns, systems, and technical