Easy Apply
Easy Apply
Design, build, and maintain Salesforce applications and integrations to support institutional sales, billing, and compliance. Own end-to-end feature delivery, collaborate with product and business stakeholders, ensure engineering quality through reviews and documentation, mentor junior engineers, and support operations via on-call rotations and incident triage.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
The Enterprise Applications & Architecture (EAA) team within Platform is the primary engineering partner for the Sales, Trading, and Prime (STP) business, building and operating Salesforce capabilities that power institutional sales, account management, and billing workflows. As a Senior Enterprise Engineer on this team, you'll design and deliver scalable, secure CRM and billing solutions while integrating Salesforce with pricing, contracting, and downstream finance systems. You'll join a small, high-ownership engineering team that partners closely with Sales Operations, Account Management, Billing, and Institutional Operations to unlock revenue, improve forecasting, and create resilient, auditable processes.
What you'll do:
- Own end-to-end Salesforce solution design and delivery using Apex, Lightning Web Components, Flows, and managed packages across Sales Cloud and Service Cloud
- Build and operate integrations between Salesforce and internal platforms using REST APIs, Platform Events, middleware, ETL tooling, and contracting systems (e.g., Ironclad)
- Author technical design documents that account for security, data architecture, system limits, and scalability
- Partner with product managers, architects, and business stakeholders (Sales, Legal, Compliance, Institutional Ops) to translate requirements into technical designs and implementation plans
- Drive engineering quality through code reviews, design reviews, on-call rotations, root cause analysis, and documentation of patterns and runbooks
- Mentor junior engineers on Salesforce engineering best practices, raising the bar for the broader Salesforce ecosystem at Coinbase
Required Skills and Experience:
- 6+ years of hands-on Salesforce development experience (Apex, LWC, Flows, security/sharing model, packaging, and release management) with demonstrated delivery of complex solutions in Sales Cloud or Service Cloud
- Proven track record building and operating integrations between Salesforce and external systems using REST APIs, Platform Events, middleware/automation platforms, and ETL tooling
- Experience writing technical design documents and presenting trade-off analyses to cross-functional stakeholders including Sales, Legal, Finance, and Engineering
- Solid foundation in software engineering fundamentals (testable architectures, separation of concerns, performance/scalability patterns) applied within the Salesforce ecosystem
- Familiarity with modern engineering practices including AI-assisted development tools (Claude Code, Cursor), Git/GitHub, CI/CD pipelines, and multi-sandbox environment management
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.
#P76070
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):
$186,960—$196,800 USD
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
Similar Jobs at Coinbase
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Manage day-to-day treasury and banking operations including funding, balance monitoring, and liquidity forecasting. Process and settle customer payments across multiple fiat rails, investigate and resolve escalated payment issues, and serve as primary contact for banking partners. Collaborate with Product, Engineering, compliance, legal, and finance to launch and support payment rail integrations and meet regulatory requirements.
Top Skills:
AapAchGenerative AiNacha
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead design systems work to build scalable components and patterns across web and mobile. Drive features from ideation through prototyping, user testing, and production. Partner with design and engineering teams to document, define, evangelize patterns, participate in reviews, and execute roadmap and long-term systems strategy.
Top Skills:
CursorFigmaFigma MakeGenerative AiVercel V0
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead and grow engineering teams building AI-powered automation (especially LLM/Agentic AI) for compliance. Drive architecture, scalable multi-tenant systems, cloud-based engineering, cross-functional roadmaps, hiring, code quality, incident response, and delivery of high-impact AI/ML products.
Top Skills:
Agentic AiAi/MlCloudDistributed SystemsGenerative AiLarge Language Models (Llms)Multi-Tenant Architecture
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
