Top Tech Jobs & Startup Jobs in Boston, MA

Leads cross-functional technical programs supporting customer-facing Technical Solutions teams. Responsibilities include coordinating stakeholders, dependencies, timelines, risks, and requirements; maintaining project documentation and status visibility; using data to track milestones and guide decisions; applying AI tools to improve workflows; communicating with technical and non-technical stakeholders; and driving process improvements across moderately complex programs.

Prospect and qualify potential customers through outbound cold calling and email outreach. Schedule discovery meetings, develop new-business acquisition strategies, and identify customer needs using Datadog’s sales methodology. Collaborate with internal teams while helping technology innovators understand Datadog’s value in digital transformation and cloud migration. The role offers sales training, mentorship, professional development, and career growth opportunities.

Leads engineering teams responsible for Datadog Agent developer experience, build systems, correctness, performance benchmarking, and software supply-chain security. Evolves SDLC practices for a complex multi-language, multi-platform open-source project, including AI coding enablement, CI/CD, build infrastructure, testing, and reliability. Hires, mentors, and develops engineering managers and staff engineers across global teams while balancing velocity, security, and long-term platform investments.

Serve as a cloud cost management and FinOps subject matter expert, advising enterprise customers on multi-cloud cost allocation, AI token attribution, Kubernetes costs, budgeting, anomaly detection, capacity planning, and optimization. Partner with field and product teams, create technical collateral, guide implementations, and influence product roadmaps. The role requires strong cloud infrastructure, observability, billing data, Python or SQL, architecture, and consultative customer skills, with travel up to 40%.

Supports compensation programs, including executive compensation, annual planning, global market entry, and mergers and acquisitions. Analyzes internal and external data, conducts benchmarking, evaluates equity and incentive programs, supports public-company disclosures, and develops actionable recommendations for People, Finance, Legal, Tax, Payroll, and leadership stakeholders. The role also partners with People Business Partners and contributes to compensation governance, integration, and harmonization initiatives.

Own and scale compensation programs, including cash and equity cycles, governance, analytics, systems, communications, and change management. Build compensation models and scenario analyses for budgeting and workforce planning, provide reporting and market insights, enhance Workday and compensation tooling, and partner with People, Finance, HRIS, Payroll, Legal, and business leaders to improve processes and employee experience.

The Enterprise Sales Executive will prospect, develop, and close State, Local, and Education accounts for Datadog. Responsibilities include building territory relationship maps, understanding customer needs, negotiating pricing, expanding existing accounts, identifying value drivers, managing sales processes, and maintaining accurate forecasts. The role requires experience selling SaaS or IT infrastructure to public-sector organizations, meeting significant revenue targets, independently building pipeline, and traveling regularly to client sites.

The Strategic Account Executive will focus on acquiring new business from large customers, maintaining relationships, negotiating terms, and ensuring sales targets are met.

Manage high-volume interview scheduling and recruiting coordination, including candidate and interviewer communications, interview logistics, rescheduling, travel and expense support, ATS data accuracy, offer letters, dashboards, and SLA/KPI reporting. Partner with recruiters, hiring managers, and people teams while maintaining confidentiality, resolving blockers, supporting team queues, and providing stakeholder guidance and training.

Build and improve software, platforms, and operational frameworks for incident response, on-call readiness, post-mortem learning, and engineering resilience. Lead incident-process design, facilitate reviews, mentor engineers, train on-callers, and drive cross-functional reliability initiatives. The role requires experience with distributed systems, Kubernetes, incident analysis, on-call operations, and software development primarily in Go and Python, with some TypeScript.