Enterprise Account Executive Managed Solutions 3 Jobs

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly What We’re Looking For: 4+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries fo

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is used by more than half of the Fortune 500 companies to power their mission-critical initiatives. Enterprise customers leverage Airtable to build sophisticated apps, and orchestrate deep, end-to-end workflows. As we continue to scale, our teams are building the systems to ensure the security and governance of our customer’s data - from secure handling of file attachments to enterprise key management. These are advanced systems that provide robust security measures to protect our user’s data. We are seeking Engineering Managers to join our Enterprise engineering pillar, focused on scaling product experiences for our biggest customers. We currently have openings on: The Admin & Governance Team: As AI becomes central to Airtable, enterprise customers need governance controls that let them adopt AI confidently, with granular feature enablement, capability-based restrictions, and full admin visibility. The Admin & Governance team is building that control plane – the AI Governance framework that gives admins those controls at every level of the enterprise. This work builds on the team's deep ownership of Airtable's enterprise trust infrastructure: the Admin Panel, SSO, audit systems, and User Groups that power governance for our largest customers. We're looking for a leader who can drive the AI Governance roadmap, scale the team's existing enterprise trust systems, and directly unblock adoption for our largest customers. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco or New York City who are open to coming into the office at least ~2-3 times/week for

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move betwe

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. What You'll Do Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across reg

WHAT IS BOX? Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では約22,000社および日経225の85%の企業の業務効率化を支援しています。Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。 Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。 WHY BOX NEEDS YOU K.K. Box JapanはBox Inc.の日本支社として2013年8月に設立され、急成長し続けています。私たちはさらにBoxを広め、ともに成長を促進していただくことができる人材を求めております。このポジションでは東日本エリアのEnterpriseセグメントを専門に担当するセールスチームのマネージャーとして、重要な案件をドライブし、クローズに導いていただきます。 WHAT YOU'LL DO 東日本のEnterprise-Marketセールスチームにおけるマネジメント全般 市場動向や競合情報のトレンドを把握し、中長期的な戦略を策定 SFDCを使用したセールスプロセスとフォーキャストの管理 コーチングやメンターシップを通じて、個人とチームの目標達成に向けてモチベーションを高める チームメンバーの成果を評価・フィードバックし、成長を促進させる マーケティングやパートナーセールスチーム等、他部門との連携によるビジネス戦略推進 Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。 WHO YOU ARE 5年以上のEnterprise Software関連製品の営業経験 3年以上の営業マネージャーとしての経験 自部門における採用、およびメンバーの育成能力 セールスのプロセスや購買サイクルを熟知していること SaaSに関する知識 Box Userであること（尚可） 英語力（尚可） 私たちは「AIファースト」の企業です。 すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。 EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're looking for a Product Engineer to join as an early member of our new Enterprise team. The consumer story has demonstrated Replit’s magic and now we are seeing use cases emerge in the B2B space that are ripe for innovation and growth. It is a critical area for our success this year and beyond. You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you'll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact. In this role you will: Build and own features across the full stack that serve enterprise customers, from backend services to user-facing interfaces Design and implement scalable solutions for teams and organizations. This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization. Work directly with customers to understand their needs and iterate on solutions Contribute to technical decisions and architecture for the Enterprise platform Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences Mentor other engineers and raise the bar for engineering excellence Ship quickly and iterate based on customer feedback and usage data Required skills and experience: Strong full

WHAT IS BOX? Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では23,000超および日経225の86%の企業の業務効率化を支援しています。 Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。 Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。 WHY BOX NEEDS YOU 製造、小売、流通、社会インフラ等の大手民間企業（従業員数2000名以上）をカバーする Enterprise Solutions Engineeringチームのマネジメントを担当し 、日本市場におけるBoxの成長とEnterprise顧客の変革を牽引していただきます。 営業・カスタマーサクセス・コンサルティング・パートナー・米国本社のプロダクト／エンジニアリングをつなぎ、Content + AIの価値を大手企業の業務成果へ変換するリーダーです。 WHAT YOU’LL DO Enterprise Solutions Engineeringチーム の採用、育成、コーチングを行い、専門性と心理的安全性を備えたハイパフォーマンス組織を構築する 営業リーダーと共同でテリトリー／アカウント戦略を策定し、パイプライン、案件品質、技術的な勝ち筋、予測精度を高める ディスカバリー、技術的適格性評価、価値仮説、デモ、ワークショップ、PoC、RFP対応から導入・拡張までのSEプロセスを標準化し、スケールさせる Box AI、AIエージェント、AI Studio、検索／Deep Research、非構造化コンテンツからのデータ抽出、ワークフロー自動化を組み合わせた提案をレビュ ー・支援する コンテンツ分類、アクセス制御、脅威対策、監査、データレジデンシーなど、Enterpriseのセキュリティ／コンプライアンスおよびAIガバナンス要件に対する提案品質を高める 日本市場の顧客インサイト、競合情報、製品フィードバックを整理し、プロダクトマネジメント／エンジニアリングへ届け、優先順位付けと実行を支援する 地域カンファレンス、BoxWorks、顧客イベント、パートナーセミナー等でContent + AI／ICMの市場啓発をリードし、Boxの思考リーダーシップを高める 営業、CSM、コンサルティング、プロフェッショナルサービス、パートナーと連携し、導入後の定着・利活用・拡張まで含む顧客成功を実現する Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。 WHO YOU ARE 私たちは「AIファースト」の企業です。 すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。 5年以上のプリセールス、ソリューションアーキテクト、ITコンサルティング、または企業向けテクノロジー提案の経験 2年以上のSolutions Engineering／プリセールスチームのピープルマネジメント経験（採用、目標設定、評価、育成を含む） &nbsp

About the Team Codex is OpenAI’s coding agent, helping developers write, review, and debug software. The broader Codex group combines research, engineering, design, and product to advance what AI agents can do. Codex Enterprise builds the agents and product capabilities that help organizations use Codex in their software development workflows. Unlike individual consumers, people at organizations work in teams, and our scope includes a product experience that works for those teams, building extensibility and discovery primitives, supporting enterprise administration and governance, and the capabilities that help us deploy Codex to organizations at scale. We help turn new agent capabilities into useful products that organizations can trust. About the Role We’re looking for a backend or backend-leaning full-stack engineer who pairs technical depth with strong product taste. You’ll build new products and major capabilities, help determine what shape they should take, and own the work from an ambiguous starting point through launch. Working closely with product managers and Forward Deployed Engineers, you’ll turn emerging needs and deployment insights into scalable product capabilities. The emphasis is on deeply technical product building, independent problem-solving, and thoughtful decisions about both user experience and system design. In this role, you will: Shape new Codex Enterprise products and features, applying product judgment to decide what to build and how it should work. Own projects from exploration through architecture, implementation, launch, and production operations, using feedback to guide ongoing iteration. Build ecosystem capabilities such as plugins, skills, hooks, and discovery experiences, alongside services for enterprise administration, governance, and usage visibility. Design reliable, secure, observable backend systems that support Codex experiences across web, IDEs, CLI, and CI/CD. Partner with product managers and Forward Deployed Engineers t

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta’s new Enterprise Resilience team is being formed to support the next era of growth by powering services that are reliable, scalable, and resilient by design. As our customer base expands and our systems scale, we need a dedicated group focused on partnering closely with product engineering teams to build and operate robust distributed systems across all of Vanta’s environments, including our new FedRAMP deployment. In this role, you’ll help define the foundations of reliability at Vanta including shaping best practices, building core infrastructure, and guiding teams as they design services that perform consistently for customers. This team will have a broad and deep impact across product engineering. Your work will influence how every Vanta engineer builds, deploys, monitors, and maintains their services, whether for our commercial environment or regulated customers with more stringent requirements. You’ll develop tools and frameworks that make it easier to detect and remediate issues, improve operational readiness, and support feature development that meets the needs of increasingly large and complex enterprise customers. Vanta engineers design and develop new product functionality and infrastructure using modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, GitHub Actions, and AWS services such as Fargate and ECS. If you're excited to help define a new function, raise the reliability bar across an entire engineering organization, and build systems that scale with Vanta’s growth, we’d love to meet you. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. 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. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers. Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement. Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, in

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As an Enterprise Product Engineer at SpaceXAI, you'll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organizations adopt and scale with Cursor. You may be a fit if You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use. Applying If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. #LI-DNI

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. About the Role This role offers the exciting opportunity to leverage your technical expertise and leadership skills to drive programs that enhance our products, applications, platforms, and ultimately, the experiences of millions of customers, shoppers, and part

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is seeking a dynamic and results-driven Director, Enterprise Sales to join our founding sales leadership team, reporting directly into our VP of Sales. You thrive on identifying opportunities that will increase the business’ and financial impact of your team, work cross-functionally to develop and execute new programs that carry out the companies vision. As the Director, Enterprise Sales you will be instrumental in scaling our sales operations, driving revenue growth, and ensuring the team’s success. Decagon is a fully in person company based in our San Francisco office. The enterprise core team is a group of high performing and entrepreneurial minded innovators, focused on transforming customer experience for the better. Your background looks something like this Have 4+ years of experience managing and leading sales teams, ideally in a B2B or SaaS environment with a track record of exceeding target. Trained in MEDDPICC sales methodology or similar value selling framework. Hi