Senior Solutions Architect

Senior Solutions Architect (Performance Specialist) Join us at MongoDB to apply for the Senior Solutions Architect (Performance Specialist) role. The Pre‑Sales Solutions Architect Specialist team seeks passionate technologists to ensure our growth is guided by strong technical alignment with our platform and customer needs. This unique position has global reach and responsibility for the most complex performance‑related proof‑of‑concept customer engagements. You will work cross‑functionally with product, engineering, and other teams to build and maintain a catalog of repeatable industry‑specific testing criteria, test plans, and results to guide the global Solution Architecture organization. MongoDB Pre‑Sales Solution Architects guide customers to design, build, and scale reliable systems using our data platform. Our team comprises seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success—designing software, deployment, and operations. You will work closely with sales executives, helping customers solve business problems, play a key role in winning deals, and drive business forward. You’ll be a trusted advisor to users from startups to the world’s largest enterprise IT organizations. This role will be based remotely in North America, with a preference towards one of our hub offices on the East Coast. The Specialist will be a critical part of the Go‑To‑Market team, writing memos to the executive team to shape our market approach and product strategy. Responsibilities Design and architect scalable, performant applications, systems, and infrastructure for large software projects leveraging MongoDB. Guide customers on architecture patterns and optimization strategies for MongoDB, communicating business value to stakeholders. Collaborate with the sales team to drive account success through planning, opportunity prioritization/qualification, and pipeline generation strategy; own technical aspects such as discovery, demos, proof of value, presentations, sizing, and documentation. Continuously seek opportunities to innovate and improve MongoDB solutions and processes, relaying field feedback to the product team and mentoring other Solutions Consulting team members. Engage in ongoing training and professional development to stay abreast of MongoDB product suite and industry trends. Qualifications Ideally 3‑8 years of customer‑facing experience, with 3 years in pre‑sales for enterprise software. Minimum of 3 years experience with modern scripting languages (Python, Node.js, SQL) and/or popular programming languages (C/C++, Java, C#). Significant experience in automated performance testing—writing test plans, executing tests on tools like Locust, Gatling, JMeter, and interpreting results using Grafana, Prometheus, Kibana. Knowledge of infrastructure deployments for distributed systems on cloud providers (AWS, GCP, Azure) and on‑prem systems (VMWare, OpenShift, Kubernetes). Ability to project‑manage cross‑functional teams. Experience designing scalable and highly available distributed systems in the cloud and on‑prem. Demonstrated ability to work with customers to review complex application architectures and provide guidance on improvements. Significant experience with data modeling relational and NoSQL databases like MongoDB. Excellent presentation, communication, and interpersonal skills; ability to convey complex technical and business concepts to technology and business leadership. Ability to strategize with sales teams and provide recommendations on multi‑threaded account strategy, aligning MongoDB and ecosystem resources. Ability to travel up to 20%. Bachelor’s degree or equivalent work experience. Preferred Experience selling databases and/or deploying applications with major cloud providers. Experience in data engineering or AI/ML projects. Experience transforming legacy systems into modern, scalable technology stacks. Understanding of popular sales methodologies/frameworks such as MEDDPICC or Command of the Message. MongoDB Certification. Cloud Provider Certification. What You Will Learn MongoDB Product Suite Mastery Core Database Server: fundamentals and advanced features. Atlas and Advanced Services: Atlas, Atlas Stream Processing, Atlas Data Lake, Atlas Full‑Text Search, Atlas Vector Search, and Charts. Relational Migrator: seamless migration from relational databases. Market‑Relevant Technologies Designing complex systems on hyperscaler platforms. Complementary technologies such as Apache Kafka and Kubernetes. Modern Architecture Design Design patterns and methodologies: microservices, DevOps, cloud, and security. Cutting‑edge RAG and AI architectures: generative AI journeys and partner collaboration. Sales Techniques and Soft Skills Effective communication: presentations, demonstrations, and whiteboarding. Client interaction: discovery and objection handling strategies. Industry Insights Diverse market verticals: exposure to use cases across various industries. Compensation & Benefits MongoDB’s base salary range for this role in Canada is: $130,000—$180,000 USD. 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. Other benefits for eligible employees may include equity, stock purchase program participation, flexible paid time off, 20 weeks fully‑paid gender‑neutral parental leave, fertility and adoption assistance, RRSP with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits. Equal Opportunity Employer MongoDB is an equal opportunities employer. Accommodations 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. #J-18808-Ljbffr