Senior Integration Platform Engineer (Sales Team)

Semrush

About The Position

The Sales team at Semrush is dedicated to empowering businesses to achieve online visibility and digital marketing success through a robust selling approach and world-class enablement programs. Joining this team offers continuous career growth, access to a global team across 40+ locations, comprehensive onboarding bootcamps (both offline and online), and recognition through the President’s club for top performers. The team boasts a higher-than-market-average quota attainment and offers uncapped commissions. The Senior Integration Platform Engineer will be responsible for owning and evolving the core integration and data backbone that supports GTM Analytics, Enterprise-grade AI tooling, and critical business data flows across Semrush. This is a global, high-trust engineering role with significant ownership, involving the design and operation of secure, scalable cloud services and data integrations used across various regions and teams, including regulated, SOX-relevant data flows such as global compensation feeds. A key aspect of this role will also be supporting post-acquisition integration work with Adobe. This position requires close collaboration with Analytics, Go-To-Market Engineering, Security, and Finance teams, without directly owning GTM systems.

Requirements

Senior backend / platform engineer with strong systems thinking
Proven experience owning production, business-critical systems end-to-end
Strong Python, Go, or JavaScript engineering background
Hands-on experience building and operating production data warehouse tables (BigQuery or similar), with strong SQL and a focus on reliability, performance, and AI-ready data design
API design experience with attention to contracts, versioning, and backward compatibility
Experience with event-driven and asynchronous architectures
Strong grounding in data engineering principles, including: schema evolution and data contracts, idempotent ingestion, replayability, and backfills, batching and late-arriving data, protecting downstream analytics and reporting consumers
Experience operating data pipelines that support executive, financial, or compensation reporting
Comfort working in environments with auditability, controls, and change discipline
Hands-on experience with GCP (Cloud Run, Cloud Functions, Pub/Sub)
Hands-on experience with Google Cloud Container tools (Cloud Run, GKE, Artifact Registry, Docker)
Experience with IAM, least-privilege access, and secrets management
Infrastructure-as-code (Terraform or equivalent)
Observability: logs, metrics, alerts, SLIs/SLOs
Native, daily use of AI coding tools such as Claude Code, Codex, Cursor, or equivalent
Experience applying AI tools to: production code development and refactoring, debugging and incident analysis, architectural trade-off evaluation
Experience assessing LLM cost economics, including: model selection trade-offs (latency, quality, cost), batching and token-efficiency strategies, build vs buy decisions for AI-powered workflows
Proven judgment shipping LLM-powered functionality in production-safe, cost-aware systems
Demonstrated ability to reason about business impact, not just technical correctness
Experience working with or adjacent to Sales, RevOps, or Finance teams, where data quality or availability affected revenue, incentives, or compensation
Comfort translating business requirements into robust, auditable technical systems
Strong judgment balancing speed, cost, risk, and correctness

Nice To Haves

SOX familiarity is a plus
Experience with orchestration tools such as Apache Airflow is a plus

Responsibilities

Design, build, and operate production APIs and cloud services (REST and/or gRPC) on Google Cloud Platform
Own Cloud Deployed Solutions/Scripts (Cloud Run, Docker etc..) that power integration, provisioning, and internal enablement platforms
Build and maintain secure, event-driven integration patterns (Pub/Sub, async workflows)
Own business-critical data integrations, including global compensation and finance-adjacent feeds with SOX relevance
Design and enforce security and access boundaries (IAM, secrets, service-to-service auth, cloud on-prem connectivity)
Drive cost-efficient cloud execution, including batching, async processing, and pricing-aware architecture decisions
Build and operate enterprise-grade AI services, with clear cost, latency, and quality trade-offs
Design reliable data ingestion patterns that support analytics, executive reporting, and downstream consumers
Act as primary owner for integration infrastructure and enterprise AI tooling for the RevOps team
Act as secondary owner for analytics pipelines to ensure coverage and eliminate single points of failure
Lead operational ownership: monitoring, alerting, incident response, root-cause analysis, and audit readiness
Partner with Analytics Engineering and Analytics teams to ensure stable, well-governed data flows
Enable Go-To-Market Engineering teams through reliable APIs, integrations, and automation primitives (without owning GTM systems)
Work with Security, Finance, and Legal stakeholders on access control, auditability, and compliance-relevant systems
Support global teams across regions and time zones

Benefits

Fast forward and continuous career growth
Offline and online bootcamps as part of our onboarding process
President’s club—an opportunity to celebrate exceptional results and reward top performers in high-class vacation destination
Uncapped commissions
Strong product-market fit recognized by RepVue
High earning potential with clear quota attainment visibility
Health insurance
Travel insurance
Employee Assistance Program
Employee Resource Groups
Paid parental leave
Relief Fund