Top Tech Jobs & Startup Jobs in Boston, MA

Own a strategic enterprise territory, generate pipeline, qualify complex opportunities using MEDDPICC, deliver executive-level value stories and demos, negotiate high-value multi-year contracts, and close consumption-based SaaS deals. Maintain forecast accuracy, explain cloud and data architecture concepts, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps to drive revenue and customer outcomes.

Leads the migration from Salesforce CPQ to Revenue Cloud and owns end-to-end Quote-to-Cash capabilities, including quoting, pricing, contracting, ordering, billing, subscriptions, and revenue recognition. Provides Salesforce architecture, integration strategy, technical governance, roadmap ownership, delivery risk management, and cross-functional leadership. The role manages engineering capacity and sprint commitments, leads workshops and proofs of concept, ensures security and compliance, and mentors Salesforce development and configuration teams.

Lead technical direction for Elastic’s billing experience platform. Design and evolve public and internal APIs, build full-stack billing and account-management features, and shape scalable architecture and data models. Improve reliability, observability, deployment, CI/CD, and incident response across cloud services. Mentor engineers, review technical work, influence roadmap priorities, collaborate across Product, Design, SRE, Finance, and Cloud teams, and participate in on-call rotations.

Develop and manage territory plans for net-new commercial accounts, build prospecting strategies, identify and qualify opportunities, position Elastic’s Search, Observability, and security products, collaborate cross-functionally, negotiate contracts, close sales, and forecast territory performance.

Build and maintain HR data pipelines and dbt models on GCP and BigQuery, integrating systems such as Workday and Greenhouse. Develop self-service dashboards, recruiting reports, data validation, governance, and AI-powered analytics experiences. Translate HR and recruiting data into actionable insights, improve reporting automation, and support stakeholders with decision-ready information while helping establish scalable analytics processes.

Leads the roadmap, architecture, security, and organizational adoption of CI/CD and release infrastructure. Designs scalable release gates, hardens supply chains, directs engineers through complex projects, manages severe incidents, and drives cross-functional technical alignment. The role remains hands-on through code reviews, prototyping, debugging, documentation, mentorship, and design reviews while primarily achieving impact through team leadership.

Owns Elastic Cloud revenue accounting, including ASC 606 contract reviews, revenue recognition, reconciliations, close support, audit coordination, technical accounting memos, UAT, policy evaluation, process improvements, controls, and internal training. Collaborates with Deal Desk, Order Operations, Billing, Collections, FP&A, and IT/Engineering in a distributed technology environment.

Lead the strategy and execution of customer onboarding and Getting Started content for Elastic products. Create cohesive, user-focused journeys that guide customers from initial setup through successful deployment and feature adoption. Partner with Product, Field, and Documentation teams to align content with product roadmaps and customer needs. Use user research, support feedback, analytics, and telemetry to identify friction, improve time-to-value, and support trial-to-paid conversion.

Perform month-end close, foreign exchange and intercompany accounting, transfer pricing, balance sheet reconciliations, statutory reporting, audit support, SOX compliance, and M&A integration. Improve accounting workflows through Python, SQL, Sigma, VBA, ERP automation, AI tools, UAT, and financial data analysis across global subsidiaries.

Lead Data Engineer responsible for designing, maintaining, and improving data pipelines and platform infrastructure across ingestion, streaming, transformation, and delivery. The role uses Airflow, Spark, Iceberg, Kafka, Flink, dbt, Terraform, and GCP. Responsibilities also include defining data contracts, documenting systems, optimizing performance, reviewing code, supporting access controls and compliance, and collaborating with stakeholders and teammates.