Engineering Manager, Research
- Pay
- $280,000 – $430,000 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- foundation model post-training
- model evaluation
- model deployment and serving
- machine learning systems
Also useful
- open-source contributions
Stated benefits & perks
- Health
- Dental
- Vision
- 401k
- Parental leave
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.
Pay and benefits
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:
- 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)
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
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
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.
From Decagon's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Engineering Manager, Research role at Decagon?
The Engineering Manager, Research posting at Decagon states compensation of $280,000 – $430,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Decagon's official career site.
Where is the Engineering Manager, Research job at Decagon located?
This Engineering Manager, Research position at Decagon is located in San Francisco, CA (On-site). Always check Decagon's application page for specific state eligibility or relocation policies.
What qualifications are required for Engineering Manager, Research at Decagon?
For the Engineering Manager, Research role, Decagon highlights 5+ years of relevant experience; experience with foundation model post-training, model evaluation, model deployment and serving, machine learning systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Engineering Manager, Research position at Decagon?
This listing links directly to Decagon's Ashby application page. You can apply directly on Decagon's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.