Job Description About Tawkify Tawkify isn't a dating app, and we're not trying to be one. We're a modern take on matchmaking, blending human expertise with AI. As the largest matchmaking company in the US, we're helping millions of people build meaningful relationships. We get to know our members deeply and make introductions grounded in real matchmaking judgment and relationship science, enhanced by AI. The recent, successful launch of our AI-driven, video-first matchmaking offering shows the potential to make matchmaking more accessible. Our vision is to become a full relationship journey and wellness platform, one that supports members not just to the first date, but through the real, ongoing work of building a lasting relationship. What You'll Do Design, build, and maintain full-stack applications that shape the future of the dating landscape Partner closely with Product, Design, Data, and Matchmaking teams to translate business needs into scalable solutions Spearhead architectural decisions that help shape the future of our platform Develop AI-powered features and workflows to improve customer experiences and internal operations Build high-quality, maintainable systems that prioritize performance, reliability, and scalability Improve engineering processes, development standards, and technical best practices Mentor other engineers and contribute to a culture of technical excellence Partner with our ML team to integrate models directly into the product experience What We're Looking For This is a hands-on, high-ownership role for a Staff/Lead-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product. Qualifications 8-10+ years of professional software engineering experience Experience designing scalable APIs and distributed systems Experience building AI-powered applications, workflows, or integrations using modern LLM technologies Strong understanding of software architecture, testing, and maintainability Ability to balance speed, quality, and pragmatic decision-making Excellent communication and collaboration skills Interest in mentoring junior engineers Experience with 0 to 1 initiatives Required Skills Proficiency in TypeScript Experience with NextJS, React, TailwindCSS, tRPC Experience with NestJS, Prisma, Postgres Familiarity with AWS and GCP Preferred Skills Experience with recommendation or matching systems, marketplaces, or personalization Prior experience at an early or growth-stage startup CS degree or related technical degree
10/15/2026
Full time
Job Description About Tawkify Tawkify isn't a dating app, and we're not trying to be one. We're a modern take on matchmaking, blending human expertise with AI. As the largest matchmaking company in the US, we're helping millions of people build meaningful relationships. We get to know our members deeply and make introductions grounded in real matchmaking judgment and relationship science, enhanced by AI. The recent, successful launch of our AI-driven, video-first matchmaking offering shows the potential to make matchmaking more accessible. Our vision is to become a full relationship journey and wellness platform, one that supports members not just to the first date, but through the real, ongoing work of building a lasting relationship. What You'll Do Design, build, and maintain full-stack applications that shape the future of the dating landscape Partner closely with Product, Design, Data, and Matchmaking teams to translate business needs into scalable solutions Spearhead architectural decisions that help shape the future of our platform Develop AI-powered features and workflows to improve customer experiences and internal operations Build high-quality, maintainable systems that prioritize performance, reliability, and scalability Improve engineering processes, development standards, and technical best practices Mentor other engineers and contribute to a culture of technical excellence Partner with our ML team to integrate models directly into the product experience What We're Looking For This is a hands-on, high-ownership role for a Staff/Lead-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product. Qualifications 8-10+ years of professional software engineering experience Experience designing scalable APIs and distributed systems Experience building AI-powered applications, workflows, or integrations using modern LLM technologies Strong understanding of software architecture, testing, and maintainability Ability to balance speed, quality, and pragmatic decision-making Excellent communication and collaboration skills Interest in mentoring junior engineers Experience with 0 to 1 initiatives Required Skills Proficiency in TypeScript Experience with NextJS, React, TailwindCSS, tRPC Experience with NestJS, Prisma, Postgres Familiarity with AWS and GCP Preferred Skills Experience with recommendation or matching systems, marketplaces, or personalization Prior experience at an early or growth-stage startup CS degree or related technical degree
Job Description About Tawkify Tawkify isn't a dating app, and we're not trying to be one. We're a modern take on matchmaking, blending human expertise with AI. As the largest matchmaking company in the US, we're helping millions of people build meaningful relationships. We get to know our members deeply and make introductions grounded in real matchmaking judgment and relationship science, enhanced by AI. The recent, successful launch of our AI-driven, video-first matchmaking offering shows the potential to make matchmaking more accessible. Our vision is to become a full relationship journey and wellness platform, one that supports members not just to the first date, but through the real, ongoing work of building a lasting relationship. What You'll Do Design, build, and maintain full-stack applications that shape the future of the dating landscape Partner closely with Product, Design, Data, and Matchmaking teams to translate business needs into scalable solutions Spearhead architectural decisions that help shape the future of our platform Develop AI-powered features and workflows to improve customer experiences and internal operations Build high-quality, maintainable systems that prioritize performance, reliability, and scalability Improve engineering processes, development standards, and technical best practices Mentor other engineers and contribute to a culture of technical excellence Partner with our ML team to integrate models directly into the product experience What We're Looking For This is a hands-on, high-ownership role for a Staff/Lead-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product. Qualifications 8-10+ years of professional software engineering experience Experience designing scalable APIs and distributed systems Experience building AI-powered applications, workflows, or integrations using modern LLM technologies Strong understanding of software architecture, testing, and maintainability Ability to balance speed, quality, and pragmatic decision-making Excellent communication and collaboration skills Interest in mentoring junior engineers Experience with 0 to 1 initiatives Required Skills Proficiency in TypeScript Experience with NextJS, React, TailwindCSS, tRPC Experience with NestJS, Prisma, Postgres Familiarity with AWS and GCP Preferred Skills Experience with recommendation or matching systems, marketplaces, or personalization Prior experience at an early or growth-stage startup CS degree or related technical degree
10/06/2026
Full time
Job Description About Tawkify Tawkify isn't a dating app, and we're not trying to be one. We're a modern take on matchmaking, blending human expertise with AI. As the largest matchmaking company in the US, we're helping millions of people build meaningful relationships. We get to know our members deeply and make introductions grounded in real matchmaking judgment and relationship science, enhanced by AI. The recent, successful launch of our AI-driven, video-first matchmaking offering shows the potential to make matchmaking more accessible. Our vision is to become a full relationship journey and wellness platform, one that supports members not just to the first date, but through the real, ongoing work of building a lasting relationship. What You'll Do Design, build, and maintain full-stack applications that shape the future of the dating landscape Partner closely with Product, Design, Data, and Matchmaking teams to translate business needs into scalable solutions Spearhead architectural decisions that help shape the future of our platform Develop AI-powered features and workflows to improve customer experiences and internal operations Build high-quality, maintainable systems that prioritize performance, reliability, and scalability Improve engineering processes, development standards, and technical best practices Mentor other engineers and contribute to a culture of technical excellence Partner with our ML team to integrate models directly into the product experience What We're Looking For This is a hands-on, high-ownership role for a Staff/Lead-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product. Qualifications 8-10+ years of professional software engineering experience Experience designing scalable APIs and distributed systems Experience building AI-powered applications, workflows, or integrations using modern LLM technologies Strong understanding of software architecture, testing, and maintainability Ability to balance speed, quality, and pragmatic decision-making Excellent communication and collaboration skills Interest in mentoring junior engineers Experience with 0 to 1 initiatives Required Skills Proficiency in TypeScript Experience with NextJS, React, TailwindCSS, tRPC Experience with NestJS, Prisma, Postgres Familiarity with AWS and GCP Preferred Skills Experience with recommendation or matching systems, marketplaces, or personalization Prior experience at an early or growth-stage startup CS degree or related technical degree