Experience Requirements:

• 3+ years in software engineering, preferably with backend or systems experience.

Other Requirements:

• Proficient in Python (TypeScript/JavaScript a plus) and familiar with major cloud providers (AWS, GCP, or Azure).

• Strong communicator able to work seamlessly with both technical and non-technical stakeholders.

• Bonus: experience with vector databases, LLMs, prompt engineering, or AI agent frameworks.

• Comfort working in dynamic environments with shifting priorities.

• Eagerness to work in person with us in NYC full time.

Responsibilities:

• Embed with customers to deeply understand their operations and deliver AI solutions that work from day one.

• Build and maintain the infrastructure for conversational AI—APIs, integrations, monitoring, and feedback loops.

• Translate business requirements into technical architectures and deployments.

• Identify patterns across deployments and feed insights back into our core product roadmap.

• Operate with high autonomy in high-stakes, ambiguous environments.

Experience Requirements:

• 2–4 years of full-stack engineering experience (we also welcome exceptional new grads with meaningful projects or internships).

Other Requirements:

• Strong familiarity with AI, LLMs, or AI-assisted systems—or a willingness to learn fast.

• Outcome-driven mindset: you measure success in impact, not just shipped features.

• Comfortable collaborating across engineering, product, and customer-facing teams.

• Low ego, high energy, resilient in a fast-paced environment.

• Bonus: prior startup, hacker, or founder experience.

• Eagerness to work in person with us in NYC full time.

Responsibilities:

• Own feature development — from backend services to AI-powered user experiences.

• Turn customer feedback into product improvements through rapid iteration and experimentation.

• Collaborate closely with Product, Customer Success, and GTM teams to align engineering decisions with business outcomes.

• Hold a high bar for code quality—testing, monitoring, and reliability are second nature.

• Prioritize ruthlessly and navigate changing requirements with autonomy.

Education Requirements:

• CS/technical education or demonstrated fluency with APIs, webhooks, and integration patterns; ability to read and discuss payloads, auth models, and error handling.

Experience Requirements:

• 2–5 years in startups in technical account management, solutions architecture, implementation, or technical customer success (or >4 years overall experience).

Other Requirements:

• Experience configuring or advising on prompting, workflow logic, and system integrations in AI, SaaS, or enterprise software contexts.

• Exceptional communicator with strong presentation and facilitation skills; comfortable leading technical discussions and executive updates.

• Analytical mindset with the ability to tie customer KPIs (e.g., booking rates, lead qualification, speed-to-answer) to business outcomes.

• Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments; thrives on owning processes end-to-end.

• Not a pure software engineer—motivated to be customer-facing and accountable for adoption and outcomes rather than building product code.

Responsibilities:

• Serve as the primary technical point of contact and trusted advisor post-sale, ensuring successful implementation, integration, and adoption.

• Lead onboarding and rollout programs, tailoring technical approaches to each customer’s goals, stack, and business model.

• Design and validate integrations (APIs, webhooks, data flows) in partnership with customer Operations, Product, and IT teams; troubleshoot issues and optimize performance.

• Configure and iterate on prompting and workflows to drive call handling quality, conversion rates, and revenue impacts.

• Conduct regular technical and business reviews to align objectives, measure KPIs, and identify new opportunities for value creation.