Decagon
From Decagon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the Role We’re looking for a manager to lead and grow a team within Decagon Research.
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.
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.
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
$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.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Monthly stipend to support your wellness, lifestyle, and work-life balance
Daily lunches and snacks in the office to keep you at your best
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Decagon offers a competitive benefits package that varies by country and complements local statutory benefits. Details for this location will be provided during the recruitment process.
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Hi [Name], I just applied for the Engineering Manager, Research role at Decagon. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
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