Job description

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You'll Do We're looking for a Senior Platform/Backend Engineer to build and scale the foundational systems that power our platform. You'll architect and deliver the backend infrastructure that enables enterprise marketers to turn ideas into fully personalized campaigns — fast, reliable, and secure. This is your chance to shape the backbone of an AI-native platform — designing distributed systems and services that make creativity at scale possible. How You'll Make an Impact: Design, build, and operate distributed backend systems and scalable APIs that serve as the foundation of our platform Architect and evolve infrastructure to support AI/LLM workloads — including model serving, orchestration, and data pipelines Drive reliability, performance, and security across production services, ensuring enterprise-grade uptime and data protection Own cloud infrastructure decisions and implement best practices for deployment, observability, and incident response Collaborate closely with Product, Engineering, and AI/ML partners to translate product requirements into robust technical solutions Identify and resolve bottlenecks across the stack, optimizing for latency, throughput, and cost efficiency Mentor and support junior engineers, fostering a culture of technical excellence and knowledge sharing What You Bring: 10+ years of backend or platform engineering experience, with a strong track record of designing and shipping scalable, production-grade systems Bachelor's or Master's degree in Computer Science, Engineering, or a related field Deep expertise in at least one backend language (e.g., Python, Go, Java, Rust) and experience with cloud platforms (AWS, GCP, or Azure) Strong understanding of distributed systems, microservices architecture, and API design Experience with containerization and orchestration tools (Docker, Kubernetes) Solid grasp of database technologies — both relational and NoSQL — and data modeling at scale Excellent communication skills and the ability to thrive independently and in collaborative teams Experience building for B2B or enterprise SaaS products Bonus: Hands-on experience with AI/ML infrastructure, LLM serving, or generative AI systems Location This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week. Base Salary The range for this role is $210,000-$240,000 plus equity. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits Competitive compensation — including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off — including parental leave Well-being programs — resources to support your mental and physical health Daily lunch & snacks Mentorship & impact — work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You’ll Love Working Here Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and M enlo ($165M raised). Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).

Requirements

Must-haves

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
This is your chance to shape the backbone of an AI-native platform — designing distributed systems and services that make creativity at scale possible.
Design, build, and operate distributed backend systems and scalable APIs that serve as the foundation of our platform
Architect and evolve infrastructure to support AI/LLM workloads — including model serving, orchestration, and data pipelines
Drive reliability, performance, and security across production services, ensuring enterprise-grade uptime and data protection
Own cloud infrastructure decisions and implement best practices for deployment, observability, and incident response
Collaborate closely with Product, Engineering, and AI/ML partners to translate product requirements into robust technical solutions
Identify and resolve bottlenecks across the stack, optimizing for latency, throughput, and cost efficiency
Mentor and support junior engineers, fostering a culture of technical excellence and knowledge sharing
10+ years of backend or platform engineering experience, with a strong track record of designing and shipping scalable, production-grade systems
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Deep expertise in at least one backend language (e.g., Python, Go, Java, Rust) and experience with cloud platforms (AWS, GCP, or Azure)
Strong understanding of distributed systems, microservices architecture, and API design
Experience with containerization and orchestration tools (Docker, Kubernetes)
Solid grasp of database technologies — both relational and NoSQL — and data modeling at scale
Excellent communication skills and the ability to thrive independently and in collaborative teams
Experience building for B2B or enterprise SaaS products
This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week.
The range for this role is $210,000-$240,000 plus equity. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits
HSA and FSA options to support your financial wellness
Well-being programs — resources to support your mental and physical health
Daily lunch & snacks
Mentorship & impact — work closely with top AI leaders on products that ship

Nice-to-haves

Bonus: Hands-on experience with AI/ML infrastructure, LLM serving, or generative AI systems

Application prep

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aillmmlpythongojavarustawsgcpazureapidockerkubernetes

Platform: greenhouse
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Benefits

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Dental

Vision

401(K)

Parental Leave

Wellness