招聘
Role Description
GTM Tech Ops owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits at the center of that ecosystem.
As a Technical Architect, you will define how our GTM platforms work together in practice. That means translating business strategy and process into scalable system design across Salesforce, marketing automation, customer success, support platforms, and our broader data and AI stack.
This is not a pure “draw the diagram” architecture role. You will work directly with engineering, product, operations, and data teams to ensure what we design is actually buildable, adopted, and durable. You’ll help us move faster with fewer handoffs, while keeping a high bar for data quality, system integrity, and long-term maintainability.
Responsibilities
- Define how systems connect across the full lifecycle (lead → opportunity → close → onboarding → adoption → renewal → expansion).
- Structure solutions around core business capabilities to reduce fragmentation and improve reuse.
- Ensure clean handoffs, consistent data models, and scalable automation across domains.
- Lead architecture for Salesforce, marketing automation, customer success platforms, and support tooling.
- Partner with data teams to align system design with the GTM data model and downstream analytics needs.
- Define how AI is embedded into GTM workflows (agent assist, seller workflows, automation, enrichment).
- Ensure solutions are practical, governed, and integrated into core systems rather than one-off tools.
- Design reliable, scalable integrations across internal and third-party systems.
- Define how systems share data, stay in sync, and interact without conflicts.
- Set and enforce standards for system design, data quality, and technical implementation.
- Participate in cross-functional architecture reviews with Enterprise Engineering and domain architects.
- Evaluate tools and capabilities in the context of the broader ecosystem.
- Drive consolidation and simplicity where possible.
- Partner closely with engineering leads to ensure architecture translates cleanly into execution.
- Mentor engineers and program managers on system design and tradeoffs.
Requirements
- 8+ years of demonstrated success designing and delivering complex, multi-system. architectures within SaaS or comparable environments.
- Deep experience with CRM platforms (Salesforce strongly preferred) and adjacent GTM systems.
- Strong understanding of data modeling, integrations, and system design patterns.
- Experience working across Sales, Marketing, Customer Success, or Support workflows.
- Proven ability to balance speed vs. long-term scalability without over-engineering.
- Comfortable operating in a cross-functional environment with engineering, operations, and business stakeholders.
Preferred Qualifications
- Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.).
- Background working in a hybrid PLG + sales-led motion.
- Familiarity with modern data stacks (Databricks, reverse ETL, event-driven architectures).
- Exposure to CPQ, billing, or commercial systems.
- Experience navigating platform consolidation or large-scale tech stack simplification.
- Prior involvement in architecture governance or cross-org design councils.
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$215,000—$290,800 USD
US Zone 3
$191,100—$258,500 USD
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关于Dropbox

Dropbox
PublicA smart workspace company that provides secure file sharing, collaboration, and storage solutions.
1,001-5,000
员工数
San Francisco
总部位置
$8B
企业估值
评价
4.0
10条评价
工作生活平衡
3.8
薪酬
4.0
企业文化
4.2
职业发展
2.8
管理层
3.5
72%
推荐给朋友
优点
Flexible work hours and remote options
Great team culture and collaborative environment
Good benefits and compensation
缺点
Limited career advancement and growth opportunities
High workload and pressure leading to burnout
Communication issues between teams
薪资范围
49个数据点
Mid/L4
Mid/L4 · RPD Developer, Oracle Analytics
2份报告
$151,840
年薪总额
基本工资
$131,600
股票
-
奖金
-
$151,840
$151,840
面试经验
2次面试
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 50%
负面 50%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Writing Sample
6
Final Interview
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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