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Partner Technical Architect Jobs

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Explore current partner technical architect jobs. Use filters to narrow by work mode, employment type, experience and date posted.

A
Anthropic
📍 Ca New York City• $305K – $385K/yr
20 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabi

artificial intelligenceailogistics
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A
Anthropic
📍 Ca New York City• $305K – $385K/yr
24 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our

artificial intelligenceailogistics
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B
Baseten
📍 San Francisco• Full-time• Remote
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS: Product Positioning & Technical Narrative Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. Sequence launches and supporting assets based on custo

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B
Baseten
📍 San Francisco• Full-time• Remote• $170K – $220K/yr
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS Product Positioning & Technical Narrative Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. Sequence launches and supporting assets based on custom

REMOTEkubernetesmachine learningai
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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

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DU
DoorDash USA
📍 New York• $159.8K – $235K/yr
4mo ago

About the Team The Product team at SevenRooms sits at the center of our business, connecting customer needs with innovative technology solutions. We are a collaborative group of builders, thinkers, and operators who are passionate about creating exceptional experiences for hospitality operators and their guests. We partner closely with Engineering, Design, Data, and Go-to-Market teams to define and deliver impactful products that drive measurable business outcomes. As a team, we value curiosity, ownership, and a strong bias toward action, while continuously learning from our customers and each other. About the Role As a Product Manager focusing on Data and Insights, you will own the foundations of our reporting, data, and insights infrastructure, leading the work to make data accessible and usable across new contexts within SevenRooms. You’ll work cross-functionally to define product requirements, prioritize work, and execute against a roadmap that aligns with company goals. This role sits at the intersection of product strategy, technical architecture, and data analytics, requiring a deep understanding of data ecosystems and how to make data understandable to broad audiences of users with different levels of technical understanding. You’ll balance customer needs, business priorities, and technical constraints to deliver high-quality products that drive meaningful impact. You’re excited about this opportunity because you will… Data Infrastructure & Architecture. Own the strategic roadmap for our reporting, analytics, and restaurant insights infrastructure. Partner with engineering teams to unlock the ability to use data in new ways to help restaurants make better decisions. Product Ownership & Execution. Own the end-to-end lifecycle of product features and initiatives, from problem definition through launch and iteration. Write clear product requirements and partner with Engineering and Design to deliver high-quality solutions. Roadmap & Prioritization.

aiExcellogistics
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D
5mo ago

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

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P
Pinterest
📍 San Francisco• Full-time• From $268.1K/yr
5mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases. You’ll be working with other leads to set and execute a long-term strategy for the team, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class capabilities. You'll also foster a healthy community where all Content Quality engineers can learn best practices, collaborate effectively and understand our technical direction. What you’ll do: Arch

sqlawsrest
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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

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J
Jamf
📍 Us Remote• Remote• $154K – $216K/yr
3 days ago

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf The Senior Manager, IT Enterprise Applications, Digital Workplace is responsible for how technology works and feels for Jamf employees. This leader connects enterprise systems into a cohesive, scalable foundation that supports productivity and cross-team collaboration. You will own the roadmap, architecture, lifecycle management, and day-to-day operations of Jamf's Service & Knowledge Management and Employee Experience platforms (currently ServiceNow and Atlassian), with the opportunity to take on additional digital workplace platforms over time. You will build and develop a team of platform administrators, developers, and technical architects, and partner with the Senior Director of Enterprise Applications on long-term platform strategy while holding decision-making authority over execution, vendor relationships, and cross-domain escalations. What you can expect to do in this role: Owns the technical roadmap, governance model, and architecture for Service & Knowledge Management and Employee Experience platforms (e.g., ServiceNow, Atlassian), reducing friction and modernizing how employees get work done Leads, coaches, and develops a team of platform administrators, developers, and technical architects, including performance management, staffing, and career growth, in alignment with Enterprise Applications goals Directs platform delivery, including planning, prioritizing, and releasing new functi

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S
Snowflake
📍 Bellevue• Full-time• Remote• $264K – $379.5K/yr
4 days ago

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 Principal Software Engineer for our Anti-Abuse team. The Anti-Abuse team sits at the core of protecting Snowflake and our customers from abuse on the Snowflake Platform. We strive to see the complete picture, leading platform-wide abuse and fraud detection while designing and deploying proactive controls for Snowflake's highest-risk capabilities: Snowpark, Data Sharing, Cortex AI, and the next generation of cloud engineering challenges as Snowflake rapidly scales. In this role, you will be the lead technical architect responsible for defining and driving our technical strategy for abuse prevention, detection, and response across the entire Snowflake ecosystem. AS A PRINCIPAL SOFTWARE ENGINEER, ANTI-ABUSE AT SNOWFLAKE, YOU WILL: Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform, serving as the chief architect for platform-wide anti-abuse strategy Partner directly with product and engineering teams building Snowflake's newest and highest-risk surfaces (Snowpark user code execution runtimes, Data Sharing and Marketplace, AI/LLM services) to design and deploy robust anti-abuse controls from day one Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines capable of ana

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O
Okta
📍 Bellevue• $252K – $347K/yr
6 days ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Manager, Solutions Engineering – Strategic (Auth0) The Auth0 Solutions Engineering Team Identity is the front door to digital customer experience and the key to unlocking the potential of AI. Auth0 by Okta secures consumer and B2B SaaS experiences by providing the trusted, developer-centric, and neutral identity layer that modern digital enterprises depend on. Customer Identity and Access Management (CIAM) sits at the critical intersection of security, developer velocity, and consumer friction. Delivering frictionless user onboarding, robust authentication, and enterprise-grade security at massive scale requires relentless problem-solvers. We are looking for builders and leaders who operate with speed and urgency and execute with technical excellence. This is an opportunity to lead the technical presales strategy for our most transformative enterprise accounts. The Okta Strategic Accounts Solutions Engineering Team The Okta Solutions Engineering team unites deep technical architecture with commercial insight. We advise Okta’s largest, most strategic enterprises on architecting modern CIAM strategies that deliver seamless, secure digital journeys to millions of end users. As a leadership team, we partner with customers to evaluate complex customer-facing digital ecosystems, assess scale and privacy requirements, and deploy CIAM solutions that drive measurable business outcomes—from increasing user conversion rates to preventing account takeovers. The

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S
Sureify
📍 United States• Remote• $180K – $215K/yr
1mo ago

About the Role We're looking for a Director of GTM Strategy and Operations to be the operational engine behind our go-to-market team. We know our market — now we need to win it faster. This role is about building the infrastructure, automation, and analytics that compress our sales cycle, increase pipeline velocity, and give leadership the visibility to forecast with confidence. You'll sit at the intersection of sales operations, marketing operations, and revenue intelligence — owning the systems, data, and workflows that turn our GTM strategy into repeatable, measurable execution. This is not a "keep the lights on" role. You'll identify gaps, design solutions, and drive adoption across the team. What You'll Do Revenue Operations & Automation Own and evolve the GTM tech stack — Salesforce, HubSpot, and the surrounding ecosystem — ensuring clean data flow, tight integrations, and minimal manual work Design and implement automation across the funnel: lead routing, handoff workflows, enrichment pipelines, follow-up sequences, and deal stage triggers Build and maintain integrations between revenue tools (CRM, MAP, sequencing platforms, data enrichment, BI) so teams operate from a single source of truth Identify and eliminate process friction that slows deals down — from first touch through closed-won Partner with technical resources to architect scalable RevOps infrastructure; you set the strategy and requirements, others execute the builds Sales Operations & Cycle Optimization Operationalize the sales process — MEDDPICC adoption, stage exit criteria, deal inspection frameworks — so reps are consistent and managers have real visibility Build and maintain pipeline management cadences: weekly reviews, deal health scoring, and escalation triggers that surface risk early Analyze sales cycle data to identify where deals stall, drop, or slow — then build fixes into the process and tooling Partner with Sales leadership on territory management, quota modeling, and capac

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MongoDB
📍 San Francisco• $160K – $160K/yr
1mo ago

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem in the San Francisco Bay Area. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We're looking to speak with candidate based in the San Francisco Bay Area for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioni

mongodbawsazure
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M
MongoDB
📍 San Francisco• $160K – $160K/yr
1mo ago

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem in the San Francisco Bay Area. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We're looking to speak with candidate based in the San Francisco Bay Area for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioni

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