Senior Pre-Sales Engineer

Datadog

Datadog is looking for a visionary Senior Leader of Sales Engineering (SE) to lead and scale a high-performing team of SE Directors in North America across Enterprise, Majors, and Public Sector accounts. This is a strategic leadership role with regional and global impact. You will define the Sales Engineering strategy for North America and act as a regional voice in global discussions with Product Management, Engineering, and Go-To-Market teams—ensuring that customer needs in North America influence Datadog’s global direction.  At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You Will Do Executive Leadership & Organizational Growth * Recruit, develop, and lead a team 3rd line SE Directors, fostering a culture of technical excellence, customer-centricity, and continuous growth. * Define and drive the technical sales strategy across North America, and globally. * Set the vision, priorities, and operating model for Sales Engineering, ensuring alignment with Datadog’s business objectives and local market dynamics. * Partner with Sales Leadership to align on revenue targets, go-to-market initiatives, and strategic customer engagement across the region. * Represent North America Sales Engineering globally, ensuring regional perspectives and requirements are reflected in Datadog’s product roadmap and GTM planning. Customer Partnership & Advocacy * Act as a trusted advisor to C-level and senior technical executives, demonstrating how Datadog solves critical observability, performance, and security challenges, especially given the rapid business adoption of AI. * Provide executive support for high-stakes opportunities, offering guidance throughout complex sales cycles. * Serve as an executive sponsor for strategic customers across North America. * Promote value-based technical selling, empowering teams to deliver impactful business outcomes. Cross-functional Collaboration & Global Influence * Collaborate closely with Sales, Marketing, Product, Engineering, and Customer Success to align field execution and messaging. * Use customer and field insights to advocate for innovation and regional needs within Product and Engineering. * Influence Datadog’s product roadmap and go-to-market strategies through close collaboration with global stakeholders. Operational Excellence * Implement and scale pre-sales methodologies, tools, and KPIs to drive consistency and customer impact across North America. * Analyze team performance and regional trends to drive data-driven improvements. * Stay current on market trends, competitive landscape, customer pain points, and evolving partner ecosystems. Who You Are * 10+ years of experience in Sales Engineering, Solutions Architecture, or similar pre-sales leadership roles, with multiple years of SE leadership experience or second line leadership. * Proven expertise in enterprise SaaS, cloud, observability, AI, and security solutions, with a track record of driving technical sales success at scale. * Strong executive presence and ability to engage and influence C-level stakeholders in large, complex organizations. * Exceptional leadership, coaching, and team-building capabilities, with experience scaling high-impact teams. * Proven track record in building customer relationships and willing to get in the field and help with top down sale * Deep understanding of sales methodologies such as MEDDICC, Command of Message (CoM), or similar frameworks. * The general travel expectation is 25%, though during peak periods it may increase to 50% Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth :  * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $238,000—$349,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Serve as the in-house subject matter expert for Datadog’s LLM Observability product * Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability * Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community * Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments * Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are:  * You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments at a large scale, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details * You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates * Experience with languages such as Python and/or JavaScript/TypeScript * Comfortable operating in rapidly evolving, ambiguous technical domains * You build deep context across teams and translate it into reusable, scalable solutions * You take ownership from problem definition through implementation and measurable outcomes * Highly detail-oriented, particularly when working on architectures and customer-facing technical assets * You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations * Able to sit up to 4 hours, traveling to and from client sites  * Able to travel via auto, train, or air up to 40% of the time  Bonus Points: * Successful track record with 5+ years experience working as a Solutions Architect or Sales Engineer supporting the AI space * Experience using Datadog and/or other observability tools in an SRE or DevOps capacity * Experience with LLM application evaluation and testing frameworks Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth:  * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $167,000—$244,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Mongodb

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. THE ROLE As a Customer Success Manager, you are the trusted advisor helping customers navigate their journey on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of accounts, acting as a strategic connector between your customers and the right resources at the right time to achieve their unique business goals. You’ll drive customer retention, revenue realization, and advocacy. You’ll build deep relationships, understand customer needs inside and out, and seamlessly navigate account team and internal resources to deliver real, measurable impact where your customers need it most. We're looking to speak with candidates based in Boston for our hybrid working model. KEY RESPONSIBILITIES Customer Advisory * Proactively identify risks and ensure deployment health by advising on best practices and operational strategies. Deliver optimal solutions to critical customer challenges, accelerating time-to-value and guiding customers to achieve their business goals through their MongoDB deployments * Conduct comprehensive customer business reviews, analyzing technical health and operational performance while translating insights into value-based outcomes. Partner with technical and business leaders to align on objectives and champion mutual success plans that foster growth and retention Account & Portfolio Management * Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage a portfolio of customers across various stages of the journey, creating and executing strategies to maximize value realization, advocacy, and long-term success * Track and report progress against key business outcomes, forecast revenue retention and realization to senior leadership for business predictability, and identify new opportunities to expand customer impact, collaborating with presales teams to support growth * Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI-driven tools to streamline daily workflows, improve productivity, and optimize customer success outcomes Internal Collaboration & Customer Advocacy * Amplify the voice of the customer within MongoDB, leveraging customer insights to inform MongoDB’s product roadmap and coordinate across Sales, Product, Services, Support, and Training teams to drive customer health, satisfaction, and value realization * Connect customers with the right internal resources, including Marketing programs and Executive Sponsor engagement, while contributing learnings from customer interactions to strengthen team success and maximize customer value WHAT YOU WILL BRING * Relevant Experience: 5 to 7+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product * Accountability: 3+ years experience being accountable for customer health and revenue realization for a defined book of business for Enterprise/High Tech customers * Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes * Education: Bachelor’s degree in Computer Science, STEM, or equivalent technical work experience ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426310 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $81,000—$160,000 USD