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Build and scale MongoDB Atlas Agent Engine, including its developer CLI, SDKs, runtime, memory, retrieval, identity, governance, and distributed systems layers. Design well-tested, reliable, high-performance software; contribute to architecture, code reviews, developer experience, and engineering practices. Collaborate across research, product, design, and engineering teams, own complex projects, mentor engineers, and help evolve the platform for production-scale AI agents.

Owns strategic partnership opportunities from identification through negotiation, launch, and ongoing management. Develops business cases, evaluates commercial and execution considerations, coordinates cross-functional workstreams, aligns stakeholders, tracks performance, and manages partner relationships. The role also establishes repeatable partnership processes, supports senior leadership recommendations, mentors junior team members, and represents the company externally.

Develop and enhance globally scalable software using .NET, Azure, React, SQL, and RESTful APIs. Implement internationalization for currencies, numbers, time zones, calendars, pluralization, and RTL layouts. Build automated tests, improve infrastructure reliability, participate in agile ceremonies, lead code reviews, and mentor junior developers.

Develop and maintain customer-facing reports, dashboards, data models, and reusable datasets. Use advanced SQL to investigate customer questions, validate metrics, resolve discrepancies, and improve data quality. Partner with Customer Success, Product, Data Science, and Data Engineering to standardize reporting, support QBRs and value realization, and convert recurring analyses into scalable, automated data capabilities.

Plan and manage data center capacity across global sites, including power, space, cooling, racks, fiber ports, and cross-connects. Maintain allocation records, forecasting models, dashboards, and DCIM data. Translate infrastructure demand into rack-level deployment plans, identify capacity risks, support colo expansions, reconcile physical and system inventories, and partner with operations, engineering, supply chain, and vendors. Contribute to automation and AI-enabled workflow improvements.

Lead cross-functional initiatives that enable AI models, coding assistants, and agentic workflows across the software development life cycle. Manage model onboarding, evaluation, approvals, governance, security reviews, adoption metrics, and vendor relationships. Coordinate Engineering, Security, Data Science, Legal, and IT stakeholders while driving communication, risk resolution, change management, training, and process improvements.

Designs, implements, and operates multi-region cloud and hybrid networking infrastructure. Develops Terraform modules and infrastructure standards, supports AWS architectures, cloud migrations, and data center exits, and contributes to architecture reviews, compliance-aware delivery, CI/CD enablement, documentation, and observability. Collaborates with platform, security, architecture, compliance, and engineering teams to improve scalability, automation, reliability, and operational efficiency.

Build and manage customer relationships through onboarding, product adoption, upselling, cross-selling, and renewal-risk identification. Partner with sales and internal teams to ensure successful transitions and customer outcomes. Advise customers on effective Datadog usage, monitor usage trends, identify growth opportunities, negotiate contract terms, and overcome pricing objections. The role follows a structured customer success methodology in a hybrid workplace.

Provide hands-on technical guidance and product adoption support to enterprise Datadog customers. Advise on IT Operations environments, recommend configurations and process improvements, support business reviews and renewals, advocate for customer goals, and collaborate with product, engineering, and technical services teams. The role requires cloud platform expertise, scripting, CI/CD, containerization, monitoring tools, and up to 30% travel to client sites.

Own full-lifecycle recruiting by sourcing, screening, assessing, and closing candidates across multiple business organizations. Build talent pipelines, partner with leaders on hiring plans, improve candidate and interview experiences, refine recruiting processes, train interview teams, and use Greenhouse ATS expertise. Manage multiple roles independently, adapt recruiting strategies, and promote the company’s value proposition to candidates.

Supports federal security certification and authorization activities, coordinates assessments with independent assessors, validates control evidence, drives remediation and continuous monitoring, and evaluates security incidents for federal reporting obligations. The role also develops scalable compliance processes for cloud services and authorized boundaries, collaborating with technical and nontechnical stakeholders. It requires expertise in NIST 800-53, FedRAMP, DoD Cloud Computing SRG, CNSSI 1253, and federal cloud security compliance.

Leads the regional pre-sales engineering organization for major accounts, managing SE leaders and principal architects. Owns technical go-to-market strategy, capacity planning, proof-of-value governance, technical win rates, pipeline generation, account expansion, executive customer engagement, and workforce development. Partners with Sales, Customer Success, Product, and Engineering to improve revenue outcomes, provide product feedback, and modernize field engineering through AI tooling and automation.

Leads the Data function across machine learning, data science, analytics, and data engineering. Manages and develops data professionals, sets technical strategy, contributes hands-on Python and SQL code, builds and deploys models, establishes scientific and data-quality standards, and partners with product and engineering teams to deliver measurable business outcomes.

Implements Vertafore software for insurance customers by managing projects, configuring applications, converting data, delivering training, and coordinating customer and internal teams. The role serves as a customer liaison, prepares project reporting, conducts remote and onsite presentations, and ensures implementations meet schedule, budget, and quality expectations. It requires knowledge of Property & Casualty insurance operations, strong communication and organization skills, and travel of up to 10%.

Lead Amazon performance marketing strategy and execution, manage Sponsored Ads and DSP, collaborate with agencies and cross-functional teams, optimize campaigns and budgets, analyze performance with AMC/analytics, and measure commercial impact to drive ROAS and customer acquisition.