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Senior Integration Platform Engineer (Sales Team)SEMrush • New York, New York, United States
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Senior Integration Platform Engineer (Sales Team)

SEMrush
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Senior Integration Platform Engineer (Sales Team) Are you ready to be part of something big? We’re hiring for the Senior Integration Platform Engineer (Sales Team) on our Sales Team!
In this role, you’ll engage with key decision-makers, forge impactful relationships with some of the world’s most influential organizations, and directly contribute to the growth of Semrush.
Why Semrush? We are a global leader in online marketing technology, meeting market demand with rapid scaling. Don’t miss the chance to join our unstoppable momentum and make history with us!
Some highlights of our success include:
Semrush named a Leader in The Forrester Wave™: Search Engine Optimization Solutions, Q3 2025
$400M+ Annual Recurring Revenue
118,000+ paying customers worldwide
1M+ freemium users
Exceptional demand for our new Enterprise platform, with deals secured from global giants like P&G, Tesla, FedEx, Samsung, Amazon, and others.
If you're looking for a role where your impact will be visible and meaningful, we’d love to hear from you.
Tasks in the role We are looking for a
Senior Integration Platform Engineer
to own and evolve the core integration and data backbone that underpins
GTM Analytics, Enterprise‑grade AI tooling, and Business‑critical data flows
across Semrush.
This is a
global, high‑trust engineering
role
with real ownership. You will design and operate secure, scalable cloud services and data integrations used across regions and teams, including regulated, SOX‑relevant data flows (e.g. global compensation feeds). You will also play a key role in supporting post‑acquisition integration work with Adobe. This role partners closely with Analytics, Go‑To‑Market Engineering, Security, and Finance - without owning GTM systems directly.
What you’ll do
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
How you’ll collaborate
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
What we’re looking for Core engineering experience
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
Data engineering fundamentals (required)
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 (SOX familiarity is a plus)
GCP & infrastructure
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
Experience with orchestration tools such as Apache Airflow is a plus
AI‑native engineering (must‑have)
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
Business context & judgment (required)
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
What success looks like
Integration and analytics‑enabling systems are stable, secure, and auditable
Enterprise AI tooling is production‑ready and cost‑controlled
Analytics and partner teams move faster without platform fragility
No single‑point‑of‑failure dependencies exist
Adobe integration progresses without disruption to core analytics or business reporting
What this role is not
Not an owner of Go‑To‑Market systems
Not a pure analytics or SQL/dbt modeling role
Not a DevOps‑only or infra‑only position
This is a senior, high‑ownership integration and platform role with global scope and clear business impact.
The annual Total Cash Compensation salary range for this position is $128,126 to $189,626. Actual pay within this range depends on several factors, including work location and individual qualifications.
Compensation ranges for the same role in other countries may differ based on local market conditions, compensation philosophy, and regulatory requirements.
*International Locations*
Compensation ranges for this role outside of the United States may differ and will be determined based on local market benchmarks, compensation practices, and applicable regulations.
A bit about the team The Sales team is at the forefront of empowering businesses to achieve online visibility and digital marketing success.
Through our One Semrush selling approach and world‑class enablement programs, we equip our team with the tools, resources, and training needed to:
Exceed sales goals
Maximize earning potential
Deliver meaningful results for our clients
To learn more about our business and vision, explore the Semrush Analyst Day 2024 presentation from New York City.
What’s in it for you
Unlimited PTO
Health insurance
Travel insurance
Flexible working hours
Employee Assistance Program
Employee Resource Groups
Paid parental leave
A little more about our company Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay‑per‑click, content, social media and competitive research campaigns and get measurable results from online marketing.
We've been developing our product for 17 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.
10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,700 people around the world are working on its development. The Semrush team is constantly growing.
Our Diversity, Equity, and Inclusion commitments Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.
We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.
Our new colleague, we are waiting for you!
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  • New York, New York, United States

Compétences linguistiques

  • English
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