Forward Deployed Engineer / Solutions Architect job opportunity at Typeface AI.

Home Jobs In Same As Address Tag: Customer Success Forward Deployed Engineer / Solutions Architect position at Typeface AI


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Typeface AI Forward Deployed Engineer / Solutions Architect
Experience: 3-years
Pattern: Remote
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Customer Success

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About TypefaceWe help 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  As a Forward Deployed Engineer / Solutions Architect, you will translate complex business needs into scalable technical architectures, rapidly prototype AI-driven applications, and integrate Typeface’s platform across customer ecosystems. You’ll combine full-stack engineering expertise with hands-on GenAI experience—building custom agents, workflows, and reusable components—while driving customer transformations through fast experimentation and iterative delivery.  How You’ll Make Impact   Partner with Engagement Managers, and Product teams to define customer requirements, facilitate technical workshops, and co-create GenAI solutions  Serve as a Solution Architect during the sales cycle—proposing the right workflows and architecture upfront, getting customer sign-off, then implementing what you sold Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and demonstrate quick wins that build momentum for transformations  Design, build, and deploy full-stack applications and microservices integrating Typeface API/SDK, Brand Hub, Arc Agents, and multimodal content generation  Build custom agents and workflows tailored to specific customer use cases  Develop integrations with customer systems (CMS, DAM, marketing automation, analytics) and platforms like Google Workspace, Salesforce, Adobe Experience Cloud, and Campaign Manager 360  Capture field-proven use cases and funnel them back to Product and Engineering teams to inform the Typeface platform roadmap  Identify patterns and opportunities for productization of custom solutions while championing customer needs in internal product discussions  Develop reusable components, templates, and patterns deployable across customers with CI/CD pipelines and governance checks  Create automated testing frameworks for brand compliance, content safety, and quality assurance while designing scalable architectures for enterprise-grade volumes  Own delivery sprints from requirements through deployment, tackling challenges on-site or remotely while balancing multiple customer engagements  Document playbooks, prompts, patterns, and best practices in internal knowledge bases and create technical guides for common use cases  Share learnings across the organization, mentor other engineers, and present technical demos and case studies at customer events  What You’ll Bring  3+ years as a full-stack developer or technical consultant with strong proficiency in React.js/Next.js/Angular, Node.js/Python/Java Spring Boot, REST/GraphQL APIs, and track record shipping production applications  Extensive hands-on experience with LLMs (GPT-4, Claude, Llama, Gemini), diffusion models (Stable Diffusion, DALL·E), and multimodal AI for text, images, video, and audio  Deep expertise in RAG pipelines, vector databases (Pinecone, Weaviate, FAISS), semantic search, and AI agent frameworks (LangChain, LlamaIndex, AutoGen)  Proficiency with prompt engineering, fine-tuning, model optimization, and understanding of LLM capabilities, limitations, and hallucination mitigation strategies  Cloud expertise across AWS (EC2, S3, Lambda, SageMaker, Bedrock), Azure (OpenAI Service, Cognitive Services), and Google Cloud (Vertex AI, BigQuery)  Strong DevOps skills including Docker, Kubernetes, CI/CD (GitLab, GitHub Actions), Infrastructure as Code (Terraform, CloudFormation), and monitoring tools  Understanding of OAuth, JWT, API security, data encryption, and compliance requirements (SOC2, GDPR)  Experience with content management systems, digital asset management platforms, marketing automation tools, and creative workflows  Outstanding customer-centricity with ability to build trust quickly with enterprise technical teams and stakeholders  Exceptional communication skills to translate complex AI concepts for both engineers and executives, present solutions clearly, and write comprehensive technical documentation  Startup DNA: thrives in fast-paced, ambiguous environments with high ownership mentality, comfortable wearing multiple hats and tackling problems outside core expertise  Base Salary The OTE compensation range for this role is $135,000-$210,000. 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 StatementWe 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 Adobe, Microsoft, Google, and top AI companies. Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($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).   

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