Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Channel Support, Computer Programming, Customer Relations, Customer Relationship Management (CRM), Customer Relationship Management (CRM) Systems, Customer/Client Research, Data Management, Machine Tool, Mathematics, Metrics, Music, Post-Sales, Pre-Sales, Product Requirements Document (PRD), Python Programming/Scripting Language, REST (Representational State Transfer), Short Messaging Service (SMS), Software as a Service (SaaS), Technical Consulting, Technical Delivery, Technical Support, Voice Chat
LOCATION
New York, New York
POSTED
3 days ago
New York City, NY · On-site · Full-timeCompensation: $175,000–$230,000 + competitive equity
About the Company
Our client is a leading conversational-AI platform that lets enterprises deploy AI agents handling customer interactions across voice, chat, email, SMS, and every other channel — replacing support tickets and hold music with faster resolutions and richer conversations. Marquee enterprises across travel, fintech, and consumer sectors run its agents. It's a later-stage, well-funded, in-office company built around velocity and a shared commitment to excellence.
Founded 2023 · 201–500 people (Series D+) · Industry: Conversational AI
The Role
A post-sales, forward-deployed engineering seat that owns end-to-end execution of AI agent builds for strategic enterprise customers — roughly a 50/50 split of hands-on technical build and customer-facing delivery, on a newly formed Agent Builder team. Ideal for a software or forward-deployed engineer who wants to pivot into customer-facing delivery and thrives in fast-moving, ambiguous environments.
Tech stack: Python (primary; assessed via a live round and case study), REST APIs, LLM / agentic tooling, enterprise integrations (CRMs, ticketing systems, data pipelines).
Requirements
3+ years in a technical, customer-facing role (solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, or technical product)
Strong Python proficiency — comfortable writing code, working with APIs, and building and validating integrations end to end (assessed live)
A genuine post-sales pull toward hands-on technical delivery rather than pre-sales
Exceptional communication and an executive-ready presence with senior technical stakeholders
Comfort in fast-moving, ambiguous environments, shaping solutions as much as implementing them; on-site five days a week
Nice to Haves
Experience building with or around LLMs and AI agents (prompting, evaluation, guardrails, tooling, workflow design)
Enterprise-SaaS integration experience (ticketing, CRM, data pipelines) with associated security and compliance considerations
A CS, Engineering, or Math degree, or equivalent technical background (CS strongly preferred; other quantitative degrees acceptable)
A strong product instinct: crisp PRDs, clear success metrics, and customer insight fed back into the roadmap
Why Join
Ground-floor on a new org: help shape how the platform's agents are built, validated, and delivered
Genuine technical depth, not slideware: roughly a 50/50 split of build and customer-facing delivery, owning agents end to end
Marquee backing and customers across travel, fintech, and consumer sectors
Comp and perks: strong base and equity, take-what-you-need vacation, full medical/dental/vision for you and family, life and disability, retirement, parental leave, fertility/family-building benefits, and daily lunches in-office