About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Team

Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs

The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.

Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.

About the Role

We’re looking for a manager to lead and grow a team within Decagon Research. You’ll own the team and technical roadmap for an area spanning model post-training, evaluation, safety, speech, or agent behavior, driving ambitious ideas from research to reliable production impact.

Managers here operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. You’ll create clarity in ambiguous research areas, develop exceptional engineers, and align the team’s work with the product outcomes that matter most to customers.

In this role, you will

Build, manage, and develop a high-performing team of research engineers through hiring, coaching, performance management, and career development

Own the technical direction and roadmap for your area, prioritizing the highest-leverage investments across models, evaluation, safety, speech, and agent systems

Turn open-ended research directions into focused programs with clear hypotheses, milestones, decisions, and measures of production impact

Stay close to the technical work through architecture and experiment reviews, debugging, and individual contribution

Set a high bar for experimental rigor, reproducibility, evaluation quality, engineering execution, and safe model rollouts

Partner across Infrastructure, Agent Platform, Product Engineering, Product, and customer-facing teams to move research into production

Your background looks something like this

5+ years of industry experience building machine-learning systems involving language models, speech, agents, or model infrastructure

1+ years of people management experience, with a strong individual-contributor background

Deep experience post-training, evaluating, deploying, or serving foundation models at scale

Strong technical judgment and a track record of translating ambiguous research ideas into measurable product outcomes

Experience hiring, coaching, and developing technical talent, with clear communication across research, engineering, product, and executive stakeholders

Even better if you have

A record of influential research, open-source contributions, or production ML systems with significant real-world impact

Compensation

$280K – $430K + Offers Equity

This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.